IEEE Transactions on Computers
IEEE Transactions on Computers (TC) is a monthly publication that publishes research in such areas as computer organizations and architectures, digital devices, operating systems, and new and important applications and trends.
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From the April 2017 issue
SPACE: Semi-Partitioned CachE for Energy Efficient, Hard Real-Time Systems
By Gil Kedar, Avi Mendelson, and Israel Cidon
Multi-core processors are increasingly popular because they yield higher performance, but they also present new challenges for hard real-time systems in that they make it much more difficult to estimate a task's worst-case execution time (WCET). Partitioned cache architecture is being used to ease the problem by providing an isolated execution environment for each thread. Although simple to implement and use, this method may be sub-optimal with respect to both energy consumption and performance since it prevents taking advantage of information shared across threads for both instructions and data. This work presents a new cache architecture termed SPACE (Semi-Partitioned CachE) that makes it possible to leverage information sharing, yielding in turn a tighter WCET. The SPACE architecture together with our new WCET algorithm can be used to maintain the predictability of the execution time of the parallel threads while reducing the overall energy consumption of the system. The new proposed cache architecture was implemented using Verilog and deployed on a Xilinx MicroBlaze multi-core design for testing, validation and measurements. The application level experiments were conducted using the Chronos tool for estimation and the Wattch/SimpleScalar simulator for execution. Using three real-time programs–a radar tracker, a DES encryption algorithm, and an FM radio–we showed that SPACE together with the enhanced WCET algorithm reduce the average system WCET of these applications by 31 percent and reduce the actual energy consumption by 18 percent in comparison with other cache architectures.
Editorials and Announcements
Editor's pick of the year 2016 (4 selected papers, each one free-to-download for three months in 2017)
- (January-March 2017) - Memory Bandwidth Management for Efficient Performance Isolation in Multi-Core Platforms, by Heechul Yun, Gang Yao, Rodolfo Pellizzoni, Marco Caccamo, and Lui Sha (IEEE Transactions on Computers, Volume: 65, Issue: 2, February 2016, pages 562-576, DOI: 10.1109/TC.2015.2425889).
- (April-June 2017) - Conﬁgurable XOR Hash Functions for Banked Scratchpad Memories in GPUs, by Gert-Jan van den Braak, Juan Gomez-Luna, Jose Marıa Gonzalez-Linares, Henk Corporaal, and Nicolas Guil (IEEE Transactions on Computers, Volume: 65, Issue: 7, July 2016, pages 2045-2058, DOI: 10.1109/TC.2015.2479595).
- (July-September 2017) - Optimised Multiplication Architectures for Accelerating Fully Homomorphic Encryption, by Xiaolin Cao, Ciara Moore, Maire O’Neill, Elizabeth O’Sullivan, and Neil Hanley (IEEE Transactions on Computers, Volume: 65, Issue: 9, September 2016, pages 2794-2806, DOI: 10.1109/TC.2015.2498606).
- (September-December 2017) - A New Design of In-Memory File System Based on File Virtual Address Framework by Edwin H.-M. Sha, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, and Weiwen Jiang (IEEE Transactions on Computers, Volume: 65, Issue: 10, October 2016, pages 2959-2972, DOI: 10.1109/TC.2016.2516019).
- Editor's pick of the year selection, announced in the July 2016 Editorial
- Multimedia presentations of each monthly featured paper are now available in Chinese, English and Spanish
- Get Your Journals as eBooks for Free
- Special Section on Cryptographic Engineering in a Post-Quantum World
Deadline: May 15, 2017
- Special Section on Advanced Techniques for Efficient and Reliable Cloud Storage (August 2016)
- Special Section on Emerging Memory Technologies in Very Large Scale Computing and Storage Systems (April 2016)
- IEEE Transactions on Computers and IEEE Transactions on Nanotechnology Joint Special Section on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (March 2016)
New Essential Set
- "Cloud Computing" available at computer.org/store
- "Industrial Implementations of Floating-Point Units" available at computer.org/store
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A Message from Editor-in-Chief Paolo Montuschi
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