The analysis of workload traces from real production parallel machines can aid a wide variety of parallel processing research, providing a realistic basis for experimentation in the management of resources over an entire workload. We analyze a five-month workload trace of an Intel Paragon machine supporting a production parallel workload at the San Diego Supercomputer Center (SDSC), comparing and contrasting it with a similar workload study of an Intel iPSC/860 machine at NASA Ames NAS. Our analysis of workload characteristics takes into account the job scheduling policies of the sites and focuses on characteristics such as job size distribution (job parallelism), resource usage, runtimes, submission patterns, and wait times. Despite fundam...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Parallel computers have matured to the point where they are capable of running a significant product...
International audienceIn HPC community the System Utilization metric enables to determine if the res...
The analysis of workload traces from real production parallel machines can aid a wide variety of par...
Abstract. Statistics of a parallel workload on a 128-node iPSC/860 located at NASA Ames are presente...
grantor: University of TorontoUnderstanding the characteristics of parallel workloads aids...
Abstract. The performance of supercomputer schedulers is greatly af-fected by the characteristics of...
Abstract—Performance evaluation is a significant step in the study of scheduling algorithms in large...
This paper presents a comprehensive statistical analysis of a variety of workloads collected on prod...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
This paper provides a systematic comparison of various characteristics of computationally-intensive ...
Science is based upon observation. The scientific study of complex computer systems should therefore...
Abstract Workload traces from real computer systems are invaluable for research purposes but regular...
Abstract: Evaluation methods for parallel computers often require the availability of relevant workl...
High-performance parallel file systems are needed to satisfy tremendous I/O requirements of parallel...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Parallel computers have matured to the point where they are capable of running a significant product...
International audienceIn HPC community the System Utilization metric enables to determine if the res...
The analysis of workload traces from real production parallel machines can aid a wide variety of par...
Abstract. Statistics of a parallel workload on a 128-node iPSC/860 located at NASA Ames are presente...
grantor: University of TorontoUnderstanding the characteristics of parallel workloads aids...
Abstract. The performance of supercomputer schedulers is greatly af-fected by the characteristics of...
Abstract—Performance evaluation is a significant step in the study of scheduling algorithms in large...
This paper presents a comprehensive statistical analysis of a variety of workloads collected on prod...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
This paper provides a systematic comparison of various characteristics of computationally-intensive ...
Science is based upon observation. The scientific study of complex computer systems should therefore...
Abstract Workload traces from real computer systems are invaluable for research purposes but regular...
Abstract: Evaluation methods for parallel computers often require the availability of relevant workl...
High-performance parallel file systems are needed to satisfy tremendous I/O requirements of parallel...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Parallel computers have matured to the point where they are capable of running a significant product...
International audienceIn HPC community the System Utilization metric enables to determine if the res...