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» Parallelism in Structured Newton Computations
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ASPLOS
2010
ACM
14 years 4 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 4 months ago
Shore-MT: a scalable storage manager for the multicore era
Database storage managers have long been able to efficiently handle multiple concurrent requests. Until recently, however, a computer contained only a few single-core CPUs, and th...
Ryan Johnson, Ippokratis Pandis, Nikos Hardavellas...
IEEEPACT
2009
IEEE
14 years 4 months ago
Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
Qingda Lu, Jiang Lin, Xiaoning Ding, Zhao Zhang, X...
ISCA
2009
IEEE
136views Hardware» more  ISCA 2009»
14 years 4 months ago
ECMon: exposing cache events for monitoring
The advent of multicores has introduced new challenges for programmers to provide increased performance and software reliability. There has been significant interest in technique...
Vijay Nagarajan, Rajiv Gupta
ISCA
2009
IEEE
146views Hardware» more  ISCA 2009»
14 years 4 months ago
Multi-execution: multicore caching for data-similar executions
While microprocessor designers turn to multicore architectures to sustain performance expectations, the dramatic increase in parallelism of such architectures will put substantial...
Susmit Biswas, Diana Franklin, Alan Savage, Ryan D...