In this paper we examine the key elements determin-ing the performance of the HPC Challenge RandomAccess benchmark on next generation supercomputers. We find that the performance of this benchmark is closely related to the bisection bandwidth of the underlying communication network, performance of integer divide operation and details of benchmark specifications such as error tolerance and per-missible multi-core mapping strategies. We demonstrate that seemingly small and innocuous changes in the benchmark can lead to significantly different system performance. We also present an algorithm to optimize RandomAccess bench-mark for multi-core systems. Our algorithm uses aggregation and software routing and balances the load on the cores by spec...
The next-generation of supercomputers will feature a diverse mix of accelerator devices. The increas...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Computer architects have increased hardware parallelism and power efficiency by integrating massivel...
The performance of supercomputers has traditionally been evaluated using the LINPACK benchmark [3], ...
As high-performance computing (HPC) systems advance towards exascale (10^18 operations per second), ...
High Performance Computing (HPC) aims at providing reasonably fast computing solutions to scientific...
High Performance Computing (HPC) aims at providing reasonably fast computing solutions to both scien...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
Nowadays, the whole HPC community is looking forward to the exascale era, with computer and system a...
Performance modeling, the science of understanding and predicting application performance, is import...
AbstractThe HPC Challenge (HPCC) Benchmark suite and the Intel MPI Benchmark (IMB) are used to compa...
This thesis contains a detailed comparison of the computation and communication performance of two ...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-96983-1_10Des...
The computation nodes of modern supercomputers commonly consist of multiple multicore processors. To...
The next-generation of supercomputers will feature a diverse mix of accelerator devices. The increas...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Computer architects have increased hardware parallelism and power efficiency by integrating massivel...
The performance of supercomputers has traditionally been evaluated using the LINPACK benchmark [3], ...
As high-performance computing (HPC) systems advance towards exascale (10^18 operations per second), ...
High Performance Computing (HPC) aims at providing reasonably fast computing solutions to scientific...
High Performance Computing (HPC) aims at providing reasonably fast computing solutions to both scien...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
Nowadays, the whole HPC community is looking forward to the exascale era, with computer and system a...
Performance modeling, the science of understanding and predicting application performance, is import...
AbstractThe HPC Challenge (HPCC) Benchmark suite and the Intel MPI Benchmark (IMB) are used to compa...
This thesis contains a detailed comparison of the computation and communication performance of two ...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-96983-1_10Des...
The computation nodes of modern supercomputers commonly consist of multiple multicore processors. To...
The next-generation of supercomputers will feature a diverse mix of accelerator devices. The increas...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Computer architects have increased hardware parallelism and power efficiency by integrating massivel...