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» Mechanisms for Mapping High-Level Parallel Performance Data
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IPPS
2010
IEEE
13 years 7 months ago
pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads
Millions of DNA sequences (reads) are generated by Next Generation Sequencing machines everyday. There is a need for high performance algorithms to map these sequences to the refer...
Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao...
ARCS
2006
Springer
14 years 1 months ago
Large Event Traces in Parallel Performance Analysis
: A powerful and widely-used method for analyzing the performance behavior of parallel programs is event tracing. When an application is traced, performancerelevant events, such as...
Felix Wolf, Felix Freitag, Bernd Mohr, Shirley Moo...
ISCA
2012
IEEE
244views Hardware» more  ISCA 2012»
12 years 4 days ago
Scheduling heterogeneous multi-cores through performance impact estimation (PIE)
Single-ISA heterogeneous multi-core processors are typically composed of small (e.g., in-order) power-efficient cores and big (e.g., out-of-order) high-performance cores. The eff...
Kenzo Van Craeynest, Aamer Jaleel, Lieven Eeckhout...
FCCM
2011
IEEE
241views VLSI» more  FCCM 2011»
13 years 1 months ago
Multilevel Granularity Parallelism Synthesis on FPGAs
— Recent progress in High-Level Synthesis (HLS) es has helped raise the abstraction level of FPGA programming. However implementation and performance evaluation of the HLS-genera...
Alexandros Papakonstantinou, Yun Liang, John A. St...
IPPS
2010
IEEE
13 years 7 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...