Calls for Papers for Journals
The IEEE Computer Society Transactions publish archive-quality research papers on a variety of topics related to computer science and technology. If you are interested in publishing with us, please view our list of on-going calls for papers to determine which journal best suits your area of expertise.
- IEEE Computer Architecture Letters
- IEEE Transactions on Affective Computing
- IEEE Transactions on Computers
- IEEE Transactions on Cloud Computing
- IEEE Transactions on Dependable and Secure Computing
- IEEE Transactions on Emerging Topics in Computing
- IEEE Transactions on Haptics
- IEEE Transactions on Knowledge & Data Engineering
- IEEE Transactions on Learning Technologies
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Parallel & Distributed Systems
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- IEEE Transactions on Services Computing
- IEEE Transactions on Software Engineering
- IEEE Transactions on Visualization & Computer Graphics
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE Computer Architecture Letters (CAL), a bi-annual forum for fast publication of new, high-quality ideas in the form of short, critically refereed, technical papers, is seeking submissions on any topic in computer architecture.
The IEEE Transactions on Affective Computing (TAC), a new bi-annual online-only publication, is seeking submissions of original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation, and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work will be considered for publication when they propose a new viewpoint on the history and the perspective on this domain.
IEEE Transactions on Computers (TC), a monthly archival publication, is seeking submissions of papers, brief contributions, and comments on research in areas that include, but are not limited to, computer organizations and architectures; operating systems, software systems, and communication protocols; real-time systems and embedded systems; digital devices, computer components, and interconnection networks; and new and important applications and trends.
Special Issue on Autonomic Provisioning of Big Data Applications on Clouds
This special issue solicits papers that advance the fundamental understanding, technologies, and concepts related to autonomic provisioning of cloud resources for Big Data applications. The research advancement is in this area is important because such large, heterogeneous, and uncertain Big Data applications are becoming increasingly common, yet current cloud resource provisioning methods do not scale well and nor do they perform well under highly unpredictable conditions (data volume, data variety, data arrival rate, etc.). If these problems are resolved, then cloud-hosted Big Data applications will operate more efficiently, with reduced financial and environmental costs, reduced under-utilisation of resources, and better performance at times of unpredictable workload.
Special Issue on Economics and Market Mechanisms for Cloud Computing
In the past decade there has been a stream of interdisciplinary research between computer science and economics. Cloud computing is one of the successful and representative examples in this interdisciplinary research. On the one hand, cloud is an emerging computing market where cloud providers and users are the players. Those players share, trade and consume computing resource in the cloud. On the other hand, economic mechanisms (such as auctions and tiered pricing) have been designed for shaping cloud computing into a diversifying pay-as-you-go paradigm. As cloud computing is still an emerging and evolving paradigm, challenges and opportunities co-exist for new research directions and applications for economics and market mechanisms for cloud computing. As the complexity, heterogeneity and scale of resources appear, it will be increasingly important to develop economics and market mechanisms for managing, trading and pricing those resources. Further, business ventures operating across multiple Clouds may need to set and oblige policy driven schemes, which may become prohibitively expensive for ordinary users. In addition, pricing models, trust and security based research are added issues to be addressed. For example, new hardware components (e.g., GPUs and SSDs) are being added to the cloud, which poses new issues for pricing models. Thus, there is a need to fundamentally address all the above-mentioned issues. IEEE Transaction on Cloud Computing seeks original manuscripts for a Special Issue on the theme - Economics and Market Mechanisms for Cloud Computing scheduled to appear in the January issue of 2015.
Special Issue on Scientific Cloud Computing
Computational and Data-Driven Sciences have become the third and fourth pillar of scientific discovery in addition to experimental and theoretical sciences. Scientific Computing has already begun to change how science is done, enabling scientific breakthroughs through new kinds of experiments that would have been impossible only a decade ago. It is the key to solving "grand challenges" in many domains and providing breakthroughs in new knowledge, and it comes in many shapes and forms: high-performance computing (HPC) which is heavily focused on compute-intensive applications; high-throughput computing (HTC) which focuses on using many computing resources over long periods of time to accomplish its computational tasks; many-task computing (MTC) which aims to bridge the gap between HPC and HTC by focusing on using many resources over short periods of time; and data-intensive computing which is heavily focused on data distribution, data-parallel execution, and harnessing data locality by scheduling of computations close to the data. Today's "Big Data" trend is generating datasets that are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. Not surprisingly, it becomes increasingly difficult to design and operate large scale systems capable of addressing these grand challenges.
This journal Special Issue on Scientific Cloud Computing in the IEEE Transaction on Cloud Computing will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running these kinds of scientific computing workloads on Cloud Computing infrastructures. This special is sue will focus on the use of cloud-based technologies to meet new compute-intensive and data-intensive scientific challenges that are not well served by the current supercomputers, grids and HPC clusters. The special issue will aim to address questions such as: What architectural changes to the current cloud frameworks (hardware, operating systems, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation, and sensor ensembles that stream data for real-time analysis are important emerging techniques in scientific and cyber-physical engineering systems. How can cloud techn ologies enable and adapt to these new scientific approaches dealing with dynamism? How are scientists using clouds? Are there scientific HPC/HTC/MTC workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? Commercial public clouds provide easy access to cloud infrastructure for scientists. What are the gaps in commercial cloud offerings and how can they be adapted for running existing and novel eScience applications? What benefits exist by adopting the cloud model, over clusters, grids, or supercomputers? What factors are limiting clouds use or would make them more usable/efficient?
Special Issue on Big Data Computing on Clouds
Big data is an emerging paradigm applied to datasets whose size or complexity is beyond the ability of commonly used computer software and hardware tools. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Besides, Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. Therefore, there is a strong demand to investigate various challenges about how to support Big Data processing by facilitating Cloud Computing potential. This special issue will focus on this challenging topic.
IEEE Transactions on Cloud Computing (TCC), will publish peer-reviewed articles that provide innovative research ideas and applications results in all areas relating to cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques relating to all areas of cloud computing will be considered for the transactions. The transactions will consider submissions specifically in the areas of cloud security, tradeoffs between privacy and utility of cloud, cloud standards, the architecture of cloud computing, cloud development tools, cloud software, cloud backup and recovery, cloud interoperability, cloud applications management, cloud data analytics, cloud communications protocols, mobile cloud, liability issues for data loss on clouds, data integration on clouds, big data on clouds, cloud education, cloud skill sets, cloud energy consumption, cloud applications in commerce, education and industry. This title will also consider submissions on Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS).
Special Issue on Cyber Crime
Cyber crimes reflect the evolution of criminal practices that have adapted to the world of information and communication technologies. Cybercriminality has become a curse of the modern world with the potential to affect every one nationally and/or internationally. Individuals, companies, governments and institutions may become victims as well as (involuntary) helpers of cyber criminals. The inability to provide cyber-security can potentially have a tremendous socio-economic impact on global enterprises as well as individuals. The aim of this special issue is to bring together the research accomplishments provided by the researchers from academia and the industry. The other goal is to show the latest research results in the field of cyber crime. Prospective authors will be encouraged to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
IEEE Transactions on Dependable and Secure Computing (TDSC), a bimonthly archival publication, is seeking submissions of papers that focus on research into foundations, methodologies, and mechanisms that support the achievement—through design, modeling, and evaluation—of systems and networks that are dependable and secure to the desired degree without compromising performance. The focus also includes measurement, modeling, and simulation techniques, and foundations for jointly evaluating, verifying, and designing for performance, security, and dependability constraints.
Special Issue on Coordination in Large-scale Socio-Technical Systems
The massive diffusion of networked ICT devices, increasingly entangled with our physical and social world, is leading to the emergence of large-scale distributed computing systems. These can provide us with a variety of innovative service and new functionalities, once we understand how to direct and coordinate their activities. You can consider sensor/actuator networks; robot swarms; platforms for collective sensing and actions; platforms for global collaboration and production. All of these, to be of some use, require the capability of effectively coordinating the activities of a very large number (up to the millions) of heterogeneous components, such as humans, software agents, robots, and generic ICT devices. And this in spite of components that are: situated in dynamic and unpredictable environments; inherently context-aware in their interaction; inherently autonomous; and, thus, practically impossible to be controlled at the individual level.
Special Issue on Advances in Neuromorphic and Analog VLSI Computing
Over the last few years there has been a renewed interest in the area of neuromorphic and analog VLSI computing. As an alternative to digital computation and digital signal processing, neuromorphic and analog VLSI processors exploit computational primitives inherent in the device physics, similar to principles that have been observed in neurobiology. As a result, very high computational densities and energy efficiencies can be potentially achieved using massively parallel architectures. This is particularly true for sensory signal processing and recognition systems where precise computing is not mission critical. On the other end of the spectrum, massive parallel neuromorphic computing systems are enabling near real-time simulations of biological systems ranging from a single neuron to the functional level at the scale of a mammalian brain. As such, there exists a tremendous potential for applying neuromorphic and analog VLSI computing techniques to mobile devices, biomedical systems, unattended sensors for defense and security systems, and cognitive computing systems. The focus of this special issue will be on novel neuromorphic and analog VLSI computing algorithms, non-traditional neuromorphic and analog VLSI circuits, algorithm and circuit co-design, and emerging applications.
Special Issue on Advances in Software Aging and Rejuvenation
After more than ten years of research work in Software Aging and Rejuvenation (SAR), this special issue tries to collect theoretical and experimental contributions related to the software aging and rejuvenation. Authors from academia, industry and government are invited to submit high quality papers describing the results of theoretical and experimental SAR research.
Special Issue on Emerging Mobile and Ubiquitous Systems
Over the last few years there has been a renewed interest in the area of mobile and ubiquitous systems. The expansion of IP networks across the world has made it far easier for Machine-to-Machine (M2M) communication to take place and has lessened the amount of power and time necessary for information to be communicated between machines. The Internet of Things becomes a non-deterministic and open network in which auto-organized objects are interoperable and able to act independently depending on the context, circumstances or environments. It leverages the capacity to collect and analyze the digital traces when interacting with widely deployed smart things to discover the knowledge about human life, environment interaction, as well as social connection/behavior. This special issue also includes emerging systems and applications that combine mobile/ubiquitous computing with cloud computing, social networks, data mining, cyber-physical systems, service computing, etc.
Special Issue on Advances in Semantic Computing
Semantic Computing (SC) is an emerging field that addresses computing technologies which allow users to search, create and manipulate computational resources (including data, documents, tools, people, devices, etc.) based on semantics ("meaning", "intention"). Semantic Computing includes the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. While some areas of Semantic Computing have appeared as isolated pieces in individual disciplines, Semantic Computing glues these pieces together into an integrated theme with synergetic interactions. It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be accessed and used to synthesize new signals.
Special Issue on Special Issue on Cyber Security
Cyber Security is a topic which is getting a very high level of attention from researchers, decision makers, policy makers and from the general public. The value of digital information is growing dramatically. Physical systems coupled with computing devices (so-called cyber-physical systems) carry out functions that are fundamental for our society. Protecting these emerging critical digital infrastructures is an increasingly relevant objective from a military and political point of view. For this reason, the IEEE Transactions on Emerging Topics in Computing (TETC) seek original manuscripts for a Special Issue on Emerging Topics in Cyber Security, scheduled to appear in the first issue of 2015. TETC is the newest Transactions of the IEEE Computer Society, and it uses an Open Access model exclusively.
Papers may present advances in the theory, design, implementation, analysis, verification, or empirical evaluation and measurement of cyber security systems, to deal with emerging computing technologies and applications. Given the the peculiar nature of TETC, we are seeking in particular papers that are more "far-reaching" than is usual for journal submissions, as long as they show promise for opening up new areas of study, or questioning long-held beliefs and tenets of the cybersecurity field.
Special Issue on Reproducible Research Methodologies
Computer science and engineering research fields increasingly rely on numerous ad hoc methods to explore research breakthroughs, particularly during empirical and statistical analysis, modeling, optimization and simulation of complex computer systems. These ad hoc methods are utilized due to a variety of factors including problem complexity and size, speed of advancement and return on investment, cost of designing prototypes, and minimal access to state-of-the-art fabrication. However, lack of a common experimental methodology, and lack of simple and unified mechanisms, tools and repositories to preserve and exchange the whole experimental setup including all past research artifacts makes it excessively challenging or even impossible to accurately reproduce experimental results for evaluation and future advancement.
The special issue on reproducible research methodologies is an invitation to papers covering topics in hardware and software analysis, modeling, optimization, run-time adaptation, simulation and co-design. Papers are solicited to address scientific (and possibly interdisciplinary) methods to design research environments, experimental methodologies, and gold standards for trustable and reproducible research methodologies in computer science and engineering disciplines. Further, papers on public frameworks and repositories to preserve and exchange research artifacts and experimental setups are also encouraged.
Special Issue on Parallel Programming and Architecture Support for Many-core Embedded Systems
Embedded system designs have evolved over time from fairly simple unicore single memory based designs to small homogeneous processing units connected by an on-chip network on the same silicon. The number of cores to be integrated in a single chip is expected to rapidly increase in the coming years, moving from multi-core to many-core architectures. This requires a global rethinking of software and hardware design approaches. The purpose of this special issue is to solicit papers discussing the latest advancements in embedded many-core system designs with a focus on parallel programming and architectures support issues. It is intended to provide an opportunity to exchange the most recent research ideas and results, initiating constructive discussion between international researchers from industry and academia.
Special Issue on Emerging Security Trends for Deeply-Embedded Computing Systems
The demand for ever smaller, portable, low-power and high-performance electronic systems has been the primary driver for CMOS technology scaling. As CMOS scaling approaches physical limits, it has been fraught with challenges that required introduction of newer processes and materials. High-κ oxide and metal-gate stack was introduced to mitigate oxide leakage. Thin body, undoped channels were introduced mitigate subthreshold leakage. 3D transistors such as FinFET and trigates were introduced to improve ON current while maintaining layout efficiency. While these incremental adjustments have allowed CMOS technology to scale, a number of alternative devices have been proposed to replace CMOS transistors such as graphene transistors (GFET), tunnel transistors, graphene nanoribbon tunnel transistors, quantum-dots and single-electron devices (SET). Newer memory technologies such as resistive RAMs, memristors, STT-RAMs similarly promise to revolutionize the design landscape. However for these alternative technologies to become practical, design methodologies that allow efficient modeling, design space exploration, and trade-off analysis is crucial. This is the driving motivation for this special issue.
Special Issue on Emerging Security Trends for Deeply-Embedded Computing Systems
Unlike traditional embedded systems, nowadays, emerging computing systems are embedded in every aspect of human lives. These deeply-embedded computing systems often perform extremely sensitive tasks, and in some cases, such as health-care IT, these are life-saving. Thus, in addition to the security threats to traditional embedded systems, emerging deeply-embedded computing systems exhibit a larger attack surface, prone to more serious or life-threatening malicious attacks. These call for revisiting traditional security mechanisms not only because of the new facets of threats and more adverse effects of breaches, but also due to the resource limitations of these often-battery-powered and extremely-constrained computing systems. As such, new trends for providing security for deeply embedded systems are emerging; many of which abandoning use of cryptographic computations or make use of lightweight crypto-systems, feasible for these computing platforms. Indeed, there exists paramount potential for applying these emerging security approaches to sensitive applications such as health-care IT for implantable medical devices, big data analytics and machine learning in deeply embedded systems, smart buildings, and smart fabrics. The focus of this special issue will be on novel security methods for deeply-embedded computing systems, emerging cryptographic solutions applicable to extremely-constrained applications such as green cryptography, and advancements in feasible security measures for evolving interdisciplinary research trends such as computing for: health-care IT, cyber-physical embedded systems, big data, and smart buildings/fabrics.
Special Issue on Advances in Mobile Cloud Computing
There is a phenomenal burst of research activities in mobile cloud computing, which extends cloud computing functions, services, and results to the world of future mobile communications applications, and the paradigm of cloud computing and virtualization to mobile networks. Mobile applications demand greater resources and improved interactivity for better user experience. Resources in cloud computing platforms such as Amazon, Google AppEngine and Microsoft Azure are a natural fit to remedy the lack of local resources in mobile devices. The availability of cloud computing resources on a pay-as-you-go basis, the advances in network virtualization, software defined networks, and the emergence of advanced wireless networks such as cloud-based radio access networks (C-RANs) create a new space of rich research problems. The objective of this special section is to cover the most recent research and development on the technologies for mobile cloud computing. This special section is to offer a venue for industry and academia to show case their recent progresses and potential research directions on the mobile cloud computing technologies.
IEEE Transactions on Emerging Topics in Computing is an open access journal that publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT. TETC aggressively seeks proposals for Special Sections and Issues focusing on emerging topics. Prospective Guest Editors should contact the TETC EIC Fabrizio Lombardi at firstname.lastname@example.org for further details.
The IEEE Transactions on Haptics (ToH), a quarterly archival publication, is seeking submissions that address the science, technology, and applications associated with information acquisition and object manipulation through touch.
IEEE Transactions on Knowledge and Data Engineering (TKDE), a monthly archival publication, is seeking submissions that present well-defined theoretical results and empirical studies that have a potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services. We welcome treatments of the role of knowledge and data in the development and use of information systems and in the simplification of software and hardware development and maintenance.
Special Issue on Seamless, Ubiquitous, and Contextual Learning
Advances in mobile and sensor technologies, cloud computing, and related Internet technologies have been phenomenal in recent years. Worldwide, the number of people with access to mobile technologies is also increasing very rapidly. There are currently more than 1 billion smartphone users in the world. The number of mobile apps for supporting learning and education has grown exponentially. Due to their relatively affordable cost and ubiquity, mobile technologies enable educators to reach out to populations of people that do not have universal access to education.
These developments are altering the landscape of technological infrastructure for work, play, and learning. The potential for and the space of possibilities for enhancing or disrupting learning ecologies has been ever greater than at any other point in human history. It is now opportune to reflect on what research has informed us on where we are now in this journey of designing and implementing designs of seamless, ubiquitous, and contextual learning and developing and refining the underlying theories and supporting software applications and technologies.
Seamless, ubiquitous, and contextual learning are notions of learning which are motivated or enabled by the mobility, ubiquity, and contextual awareness of digital and networked technologies. In seamless learning, learning happens continuously and bridges contexts such as formal and informal learning via different technologies. In ubiquitous learning, learners draw from the pervasive and embedded technologies around us. In contextual learning, awareness of the context can be detected and supported by location-based and other sensor-based technologies.
IEEE Transactions on Learning Technologies (TLT), a quarterly archival online-only publication using a delayed open access publication model, is seeking submissions about all advances in learning technologies, such as innovative online learning systems, personalized and adaptive learning systems, and learning with mobile devices
IEEE Transactions on Mobile Computing (TMC), a monthly archival publication, is seeking submissions of mature works of research, typically those that have appeared in part in conferences, and that focus on the key technical issues related to, but not limited to, architectures, support services, algorithm/protocol design and analysis, mobile environments, mobile communication systems, and emerging technologies.
IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
IEEE Transactions on Parallel and Distributed Systems (TPDS), a monthly archival publication, is seeking submissions that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest in parallel systems include, but are not limited to, architectures, software, and algorithms and applications. Particular areas of interest in distributed systems include, but are not limited to, algorithms and foundation, distributed operating systems, and Internet computing and distributed applications.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), a monthly archival publication, is seeking submissions that discuss the most important research results in all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence. Other areas of interest are machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition, and relevant specialized hardware and/or software architectures.
IEEE Transactions on Services Computing (TSC), is a quarterly archival online-only publication, is seeking submissions that emphasize the algorithmic, mathematical, statistical and computational methods that are central in services computing: the emerging field of service-oriented architecture, Web services, business process integration, solution performance management, services operations, and management.
IEEE Transactions on Software Engineering (TSE), a bimonthly archival publication, is seeking submissions of well-defined theoretical results and empirical studies that have a potential impact on the construction, analysis, or management of software. The scope of this Transactions ranges from the mechanisms through the development of principles to the application of those principles to specific environments. Since the journal is archival, it is assumed that the ideas presented are important, have been well analyzed, and/or empirically validated, and are of value to the software engineering research or practitioner community.
IEEE Transactions on Visualization and Computer Graphics (TVCG), a monthly archival publication, is seeking submissions that present important research results and state-of-the-art seminal papers related to computer graphics and visualization techniques, systems, software, hardware, and user interface issues. Specific topics in computer graphics and visualization include, but are not limited, algorithms, techniques and methodologies; systems and software; user studies and evaluation; rendering techniques and methodologies, including real-time rendering, graphics hardware, point-based rendering, and image-based rendering; and animation and simulation, including character animation, facial animation, motion-capture, physics-based simulation and animation.
Special section on "Advanced Parallel Computing Systems to Accelerate Bioinformatics"
Emerging hardware-based computing systems characterized by exploiting from fine to coarse grain parallelism are being applied as a main resource to accelerate many algorithms and efficiently manage loads of data. Multi-CPU, GPU and FPGA-accelerated computer systems, data center supercomputers and cloud computing are nowadays an efficient alternative to usual computer systems whose resources are not always able to meet the demand of fast execution of complex algorithms or massive data processing in biological and biochemical systems. In this sense, there are many well-known and novel problems in Bioinformatics that involve intensive computation to supply the solution as soon as possible, even in real time. Faster execution time can either be achieved by designing special-purpose processors exploiting the intrinsic parallelism that hardware provides, using low power consumption or by applying high-performance computing systems that can manage and process big data. Any of these computing systems may use different configurations, architectures and technologies according to the specific problem to be tackled, combining different parallelism levels. Therefore, the usage and design of advanced parallel computing systems are a challenge that opens new possibilities to accelerate Bioinformatics problems, taking into account the problem features, the algorithms that can solve it and the constraints of the technology on which it is executed. Pursuing these possibilities, there are many trends and open issues that deserve to be investigated. In this special section, we seek original, high-quality articles, clearly focused on theoretical or practical aspects of the design, implementation and efficient application of hardware architectures to accelerate Bioinformatics problems.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), a bimonthly archival publication, is seeking submissions that discuss research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. This includes, but is not limited to, the development and testing of effective computer programs in bioinformatics; the development and optimization of biological databases; and important biological results that are obtained from the use of these methods, programs, and databases.