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» A Massively Parallel Architecture for Bioinformatics
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CISIS
2008
IEEE
13 years 9 months ago
Multi-variant Program Execution: Using Multi-core Systems to Defuse Buffer-Overflow Vulnerabilities
While memory-safe and type-safe languages have been available for many years, the vast majority of software is still implemented in type-unsafe languages such as C/C++. Despite ma...
Babak Salamat, Andreas Gal, Todd Jackson, Karthike...
DAC
2010
ACM
13 years 5 months ago
Xetal-Pro: an ultra-low energy and high throughput SIMD processor
This paper presents Xetal-Pro SIMD processor, which is based on Xetal-II, one of the most computational-efficient (in terms of GOPS/Watt) processors available today. XetalPro supp...
Yifan He, Yu Pu, Richard P. Kleihorst, Zhenyu Ye, ...
ICPP
2009
IEEE
14 years 2 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
ICPP
2006
IEEE
14 years 1 months ago
Data Sharing Pattern Aware Scheduling on Grids
These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...
Young Choon Lee, Albert Y. Zomaya
DAMON
2009
Springer
14 years 1 months ago
Frequent itemset mining on graphics processors
We present two efficient Apriori implementations of Frequent Itemset Mining (FIM) that utilize new-generation graphics processing units (GPUs). Our implementations take advantage ...
Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, ...