HPC

Accelerating High-order Stencils on GPUs
Finite-difference methods based on high-order stencils are commonly used for modeling of seismic wave propagation, weather forecasting, …
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An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications
The US Department of Energy’s fastest supercomputers and forthcoming exascale systems employ Graphics Processing Units (GPUs) to …
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Analyzing GPU-accelerated Applications Using HPCToolkit
Using HPCToolkit to Measure and Analyze the Performance of GPU-accelerated Applications Tutorial
Apr 1, 2021 9:48 PM — 9:48 PM Virtual
Project Slides Video
GPA: A GPU Performance Advisor Based on Instruction Sampling
Developing efficient GPU kernels can be difficult because of the complexity of GPU architectures and programming models. Existing …
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Measurement and Analysis of GPU-accelerated Applications with HPCToolkit
To address the challenge of performance analysis on the US DOE’s forthcoming exascale supercomputers, Rice University has been …
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Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs
Graphics Processing Units (GPUs) have become a key technology for accelerating node performance in supercomputers, including the US …
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A Tool for Top-down Performance Analysis of GPU-Accelerated Applications
To support performance measurement and analysis of GPU-accelerated applications, we extended the HPCToolkit performance tools with …
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GVPROF: A Value Profiler for GPU-Based Clusters
GPGPUs are widely used in high-performance computing systems to accelerate scientific and machine learning workloads. Developing …
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Tools for Top-down Performance Analysis of GPU-Accelerated Applications
This paper describes extensions to Rice University’s HPCToolkit performance tools to support measurement and analysis of …
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