Parallel i/o evaluation techniques and emerging hpc workloads: A perspective
Emerging workloads such as artificial intelligence, big data analytics and complex multi-step
workflows alongside future exascale applications are anticipated future HPC workloads …
workflows alongside future exascale applications are anticipated future HPC workloads …
I/o characterization and performance evaluation of beegfs for deep learning
Parallel File Systems (PFSs) are frequently deployed on leadership High Performance
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …
Revisiting I/O behavior in large-scale storage systems: The expected and the unexpected
Large-scale applications typically spend a large fraction of their execution time performing
I/O to a parallel storage system. However, with rapid progress in compute and storage …
I/O to a parallel storage system. However, with rapid progress in compute and storage …
Systematically inferring I/O performance variability by examining repetitive job behavior
Monitoring and analyzing I/O behaviors is critical to the efficient utilization of parallel storage
systems. Unfortunately, with increasing I/O requirements and resource contention, I/O …
systems. Unfortunately, with increasing I/O requirements and resource contention, I/O …
Uncovering access, reuse, and sharing characteristics of {I/O-Intensive} files on {Large-Scale} production {HPC} systems
Large-scale high-performance computing (HPC) applications running on supercomputers
produce large amounts of data routinely and store it in files on multi-PB shared parallel …
produce large amounts of data routinely and store it in files on multi-PB shared parallel …
Access patterns and performance behaviors of multi-layer supercomputer i/o subsystems under production load
JL Bez, AM Karimi, AK Paul, B **_with_Lossy_Compression_for_Scientific_Simulation/links/5e248330299bf1e1fac114f1/Improving-Performance-of-Data-Dum**-with-Lossy-Compression-for-Scientific-Simulation.pdf" data-clk="hl=cs&sa=T&oi=gga&ct=gga&cd=8&d=16614213924899605156&ei=b96tZ_PtBZbO6rQP6tvC0A0" data-clk-atid="pEr974mLkeYJ" target="_blank">[PDF] researchgate.net
Improving performance of data dum** with lossy compression for scientific simulation
Because of the ever-increasing data being produced by today's high performance
computing (HPC) scientific simulations, I/O performance is becoming a significant bottleneck …
computing (HPC) scientific simulations, I/O performance is becoming a significant bottleneck …
Understanding hpc application i/o behavior using system level statistics
AK Paul, O Faaland, A Moody… - 2020 IEEE 27th …, 2020 - ieeexplore.ieee.org
The processor performance of high performance computing (HPC) systems is increasing at
a much higher rate than storage performance. This imbalance leads to I/O performance …
a much higher rate than storage performance. This imbalance leads to I/O performance …