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I/o access patterns in hpc applications: A 360-degree survey
The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …
layers, the inter-dependencies among these layers, and the different performance tuning …
Power profile monitoring and tracking evolution of system-wide hpc workloads
The power & energy demands of HPC machines have grown significantly. Modern exascale
HPC systems require tens of megawatts of combined power for computing resources and …
HPC systems require tens of megawatts of combined power for computing resources and …
[HTML][HTML] Enhancing the performance of extreme learning machine technique using optimization algorithms for embedded workload characterization
Embedded devices are used in many domains, including healthcare, industries, and home
automation, all of which entail significant workloads. As a direct consequence, the …
automation, all of which entail significant workloads. As a direct consequence, the …
Machine learning assisted HPC workload trace generation for leadership scale storage systems
Monitoring and analyzing a wide range of I/O activities in an HPC cluster is important in
maintaining mission-critical performance in a large-scale, multi-user, parallel storage …
maintaining mission-critical performance in a large-scale, multi-user, parallel storage …