Pages: pp. 97-98
James R. Goodman received this year's Eckert-Mauchly Award for contributions to the hardware/software inter-face of computer architecture. Goodman's innovations led to the development of hybrid approaches to high-performance computer memory systems that can achieve near hardware-level performance but with software's flexibility.
In his seminal 1983 paper, "Using Cache Memory to Reduce Processor-Memory Traffic," Goodman was the first to describe snooping cache coherence protocols for maintaining the consistency of stored data in multiprocessing environments. The paper also identified the cache's importance in conserving memory bandwidth. This work appears in virtually every computer built and sold today, reflecting the broad influence of his innovations.
Goodman was the principal co-inventor of hardware queue-based locks, which allow programs with busy-wait synchronization to scale to very large multi-processors. He also introduced critical section speculation, which helped launch the resurgence of transactional memory as a parallel programming and synchronization method. Architectures based on this work have recently begun to appear in products, including the flagship microprocessors from Intel.
A graduate of the University of California, Berkeley, Goodman worked for Intel while earning his PhD. He then joined the faculty at the University of Wisconsin–Madison and spent several academic years on sabbatical at AT&T Bell Laboratories, the Advanced Computer Research Laboratory in Lyon, France, and Intel before going to the University of Auckland, New Zealand, where he's currently a computer science professor. He coauthored A Program-mer's View of Computer Architecture, a highly acclaimed book on computer architecture, with Karen Miller, and Structural Computer Architecture with Andrew Tanenbaum. He's a Fellow of IEEE and ACM.
Figure IEEE Computer Society special award winners at 2013 Intel ISEF: (front row) Brittany Michelle Wenger, Lowell Johnson (chair for the IEEE-CS judges), Szu-Jung Wu, and Shiang-Wen Huang; (second row) Li Huang, Mustafa Abid Ansari, Fan Zhang, and Apurv Hirsh Shekhar.
The Eckert-Mauchly Award is known as the computer architecture community's most prestigious award. The IEEE Computer Society and ACM cosponsor the award, which was initiated in 1979. They presented the award jointly to Goodman at the 2013 International Symposium on Computer Architecture in Tel Aviv, Israel.
The IEEE Computer Society honored seven high school students from the US, Canada, and Taiwan with awards for their entries in the 2013 Intel International Science and Engineering Fair (Intel ISEF):
Intel ISEF is the world's largest international precollege science competition. It provides an annual forum for more than 1,500 high school students from more than 70 countries, regions, and territories to showcase their independent research as they compete for more than $3 million annually. The CS special awards recognize computer science students who earned the right to compete at Intel ISEF 2013 by win-ning a top prize at a local, regional, state, or national science fair.
The 2013 grand prize winner this year, Alexandra Budisteanu, 19, of Liceul Tehnologic Oltchim, Romania, also competed in the computer science area. He received $75,000 from Intel ISEF for his entry, "Using Artificial Intelligence to Create a Low Cost Self-driving Car." For more information on the event, see www.societyforscience.org/isef/about.
Big Data experts from Google, Netflix, IBM, Kaiser Permanente, and other companies will share their insights on how to unleash the power of big data at the IEEE Computer Society's Rock Stars of Big Data summit. Attendees at the 29 October event at the Computer History Museum in Mountain View, California, will learn how to create a big data culture, succeed at big data projects, and use big data analytics to make the right decisions.
To register, visit www.computer.org/Big-Data. The first 50 registrants will receive an e-book version of Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley, 2012), by speaker Bill Franks, Chief Analytics Officer of Teradata's Global Alliance Programs.
Other scheduled speakers include
"Rock Stars of Big Data represents a rare opportunity to hear the latest from big data leaders from a variety of industry segments and come away with a clear understanding and actionable knowledge to unleash its tremendous power," said the IEEE Computer Society's Chris Jensen. "We believe this will be a sold-out event, so attendees should register soon to guarantee their seat."