high performance computing on graphics processing units: hgpu.org

Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss

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Tags: Algorithms, AMD Radeon Instinct MI100, ATI, Computer science, CUDA, Finite element method, nVidia, OCCA, Tesla V100

September 19, 2021 by hgpu

Raster Time Series: Learning and Processing

Johannes Drönner

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Tags: AMD Radeon RX 580, ATI, Computer science, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, OpenCL, Sensing, Thesis, Visualization

May 16, 2021 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

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high performance computing on graphics processing units: hgpu.org

Optimizing Performance and Energy Efficiency in Massively Parallel Systems

Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library

HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark

On the accuracy and performance of the lattice Boltzmann method with 64-bit, 32-bit and novel 16-bit number formats

High performance computing on Android devices – a case study

Generating GPU Compiler Heuristics using Reinforcement Learning

Homomorphic-Encrypted Volume Rendering

Embedded Software Synthesis using Heterogeneous Dataflow Models

Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

GPU Algorithms for Efficient Exascale Discretizations

Raster Time Series: Learning and Processing

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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Parallel Gaussian process with kernel approximation in CUDA

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