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Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

Programming Massively Parallel Architectures using MARTE: a Case Study

A. Wendell Rodrigues, Frederic Guyomarc'h, Jean-Luc Dekeyser

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing, Software Engineering

March 28, 2011 by hgpu

Bridging the GPGPU-FPGA efficiency gap

Christopher W. Fletcher, Ilia A. Lebedev, Narges B. Asadi, Daniel R. Burke, John Wawrzynek

Tags: Algorithms, Bayesian, Computer science, FPGA, Heterogeneous systems, nVidia, OpenCL

March 22, 2011 by hgpu

Using Parallel Computing for the Display and Simulation of the Space Debris Environment

M. Mockel, C. Wiedemann, S. Flegel, J. Gelhaus, P. Vorsmann, H. Klinkrad, H. Krag

Tags: Earth and Space Sciences, OpenCL, Review, Visualization

March 18, 2011 by hgpu

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Amnon Barak, Tal Ben-nun, Ely Levy, Amnon Shiloh

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Tags: Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, OpenMP

March 15, 2011 by hgpu

Handbook of open source tools

Sandeep Koranne

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, Pthreads

February 26, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

Probing biomolecular machines with graphics processors

James C. Phillips, John E. Stone

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Tags: Biology, Biomolecules, CUDA, GPU cluster, Molecular simulation, nVidia, OpenCL, Review, Tesla S1070

February 23, 2011 by hgpu

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

John A. Stratton, Vinod Grover, Jaydeep Marathe, Bastiaan Aarts, Mike Murphy, Ziang Hu, Wen-mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, Programming techniques

February 20, 2011 by hgpu

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Lee Howes, Anton Lokhmotov, Paul H.J. Kelly, Alastair F. Donaldson

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL

February 19, 2011 by hgpu

High Performance Relevance Vector Machine on GPUs

Depeng Yang, Getao Liang, David D. Jenkins, Gregory D. Peterson, and Husheng Li

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 480, OpenCL

February 19, 2011 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Programming Massively Parallel Architectures using MARTE: a Case Study

Bridging the GPGPU-FPGA efficiency gap

Using Parallel Computing for the Display and Simulation of the Space Debris Environment

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Handbook of open source tools

Achieving a single compute device image in OpenCL for multiple GPUs

Probing biomolecular machines with graphics processors

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

High Performance Relevance Vector Machine on GPUs

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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