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» Accelerating SQL database operations on a GPU with CUDA
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IEEEHPCS
2010
13 years 3 months ago
CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application
Abstract—GPUs have recently been used to accelerate dataparallel applications for they provide easier programmability and increased generality while maintaining the tremendous me...
Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Ya...
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
14 years 4 months ago
GPUQP: query co-processing using graphics processors
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...
TC
2010
13 years 3 months ago
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pr...
DEBS
2010
ACM
13 years 8 months ago
Evaluation of streaming aggregation on parallel hardware architectures
We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...
WWW
2008
ACM
14 years 5 months ago
Using graphics processors for high-performance IR query processing
Web search engines are facing formidable performance challenges due to data sizes and query loads. The major engines have to process tens of thousands of queries per second over t...
Shuai Ding, Jinru He, Hao Yan, Torsten Suel