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» A Massively Parallel Architecture for Bioinformatics
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CISIS
2008
IEEE
15 years 7 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...
221
Voted
DAC
2010
ACM
15 years 3 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
16 years 6 days 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
15 years 11 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
16 years 4 days 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, ...