Some typical memory access patterns are provided and programmed in C, which can be used as benchmark to characterize the various techniques and algorithms aim to improve the performance of NUMA memory access. These access patterns, called MAP-numa (Memory Access Patterns for NUMA), currently include three classes, whose working data sets are corresponding to 1-dimension array, 2-dimension matrix and 3-dimension cube. It is dedicated for NUMA memory access optimization other than measuring the memory bandwidth and latency. MAP-numa is an alternative to those exist benchmarks such as STREAM, pChase, etc. It is used to verify the optimizations' (made automatically/manually to source code/executive binary) capacities by investigating what local...
Nowadays the evolution of High Performance Computing follows the needs of numerical simulations.Thes...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
The demand for large compute capabilities in scientific computing led to wide use and acceptance of ...
Part 5: Performance Modeling, Prediction, and TuningInternational audienceSome typical memory access...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
Shared memory applications running transparently on top of NUMA architectures often face severe perf...
As the number of cores increases Non-Uniform Memory Access (NUMA) is becoming increasingly prevalent...
Abstract—An important aspect of workload characterization is understanding memory system performance...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
Abstract. OpenMP has become the dominant standard for shared memory pro-gramming. It is traditionall...
International audienceIn modern parallel architectures, memory accesses represent a common bottlenec...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
A multiprocessor system with uniform memory access is difficult to scale due to the increasing conte...
Benchmarking high performance computing systems is crucial to optimize memory consumption and maximi...
Nowadays the evolution of High Performance Computing follows the needs of numerical simulations.Thes...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
The demand for large compute capabilities in scientific computing led to wide use and acceptance of ...
Part 5: Performance Modeling, Prediction, and TuningInternational audienceSome typical memory access...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
Shared memory applications running transparently on top of NUMA architectures often face severe perf...
As the number of cores increases Non-Uniform Memory Access (NUMA) is becoming increasingly prevalent...
Abstract—An important aspect of workload characterization is understanding memory system performance...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
Abstract. OpenMP has become the dominant standard for shared memory pro-gramming. It is traditionall...
International audienceIn modern parallel architectures, memory accesses represent a common bottlenec...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
A multiprocessor system with uniform memory access is difficult to scale due to the increasing conte...
Benchmarking high performance computing systems is crucial to optimize memory consumption and maximi...
Nowadays the evolution of High Performance Computing follows the needs of numerical simulations.Thes...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
The demand for large compute capabilities in scientific computing led to wide use and acceptance of ...