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SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala

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Tags: Computer science, GPU cluster, Heterogeneous systems, Java, OpenCL, Package

May 7, 2015 by hgpu

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Amir Gholami, Judith Hill, Dhairya Malhotra, George Biros

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Tags: Computer science, CUDA, FFT, MPI, nVidia, Package, Tesla K20

May 7, 2015 by hgpu

Fireflies: New software for interactively exploring dynamical systems using GPU computing

Robert Merrison-Hort

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Tags: Computer science, Differential equations, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 460, ODEs, OpenCL, Ordinary differential equations, Package, Python

May 7, 2015 by hgpu

IPMACC: Translating OpenACC API to OpenCL

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Tesla K20

May 3, 2015 by hgpu

PyTransit: Fast and Easy Exoplanet Transit Modelling in Python

Hannu Parviainen

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Tags: Astrophysics, Earth and Planetary Astrophysics, OpenCL, Package, Python

May 3, 2015 by hgpu

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

Weifeng Liu, Brian Vinter

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Tags: ATI, Computer science, CUDA, Intel HD 5500, Mathematical Software, Numerical Analysis, nVidia, nVidia Jetson TK1, OpenCL, Package, Sparse matrix

April 27, 2015 by hgpu

Algorithm 9xx: Sparse QR Factorization on the GPU

Sencer Nuri Yeralan, Timothy A. Davis, Sanjay Ranka

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Sparse matrix, Tesla C2070

April 25, 2015 by hgpu

A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors

Weifeng Liu, Brian Vinter

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Tags: AMD Radeon R9 290X, ATI, Computer science, CUDA, Mathematical Software, Matrix multiplication, Numerical Analysis, nVidia, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, OpenCL, Package, Path problems, Sparse matrix

April 23, 2015 by hgpu

Verification of Producer-Consumer Synchronization in GPU Programs

Rahul Sharma, Michael Bauer, Alex Aiken

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Tags: Computer science, CUDA, nVidia, Package, PTX

April 20, 2015 by hgpu

Optimizing ASP.NET with C++ AMP on the GPU

Scott Zimmerman

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Tags: C++ AMP, Cloud, Computer science, Matrix multiplication, nVidia, nVidia GRID K520, Package

April 17, 2015 by hgpu

NBODY6++GPU: Ready for the gravitational million-body problem

Long Wang, Rainer Spurzem, Sverre Aarseth, Keigo Nitadori, Peter Berczik, M.B.N. Kouwenhoven, Thorsten Naab

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla K20

April 17, 2015 by hgpu

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Wim Vanderbauwhede

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Weather prediction, Weather Prediction Model

April 12, 2015 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Fireflies: New software for interactively exploring dynamical systems using GPU computing

IPMACC: Translating OpenACC API to OpenCL

PyTransit: Fast and Easy Exoplanet Transit Modelling in Python

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

Algorithm 9xx: Sparse QR Factorization on the GPU

A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors

Verification of Producer-Consumer Synchronization in GPU Programs

NBODY6++GPU: Ready for the gravitational million-body problem

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

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

OpenMC Monte Carlo Code

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