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Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Kazuya Tani, Daisuke Takafuji, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Programming techniques

May 31, 2014 by hgpu

Automatic Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

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

May 26, 2014 by hgpu

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Ana M. Mihut, Graham Morgan, Marcus Kaiser

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Tags: Biology, CUDA, GLSL, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia Quadro 600, OpenGL, Programming techniques, Tesla K20

May 24, 2014 by hgpu

A Tool for Interactive Parallelization

Ritu Arora, Julio Olaya, Madhav Gupta

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Tags: Computer science, CUDA, MPI, nVidia, Programming techniques

May 21, 2014 by hgpu

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

David Klemish

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Particle filtering, Programming techniques, Thesis, Thrust

May 21, 2014 by hgpu

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Ethel Bardsley, Alastair F. Donaldson, John Wickerson

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Tags: Computer science, OpenCL, Programming techniques

April 30, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

N. Tuck

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Tags: AMD, ATI Radeon 5830, High-level Languages, nVidia, nVidia GeForce GTX 650 Ti, OpenCL, Programming techniques, Thesis

March 28, 2014 by hgpu

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

Dachuan Sun

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GT 520, Programming techniques, Thesis

December 29, 2013 by hgpu

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Yasuaki Ito, Koji Nakano

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Programming techniques

December 15, 2013 by hgpu

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Kamil Rocki, Martin Burtscher, Reiji Suda

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Programming techniques

November 28, 2013 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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Automatic Termination Analysis for GPU Kernels

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

A Tool for Interactive Parallelization

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Performance-aware component composition for GPU-based systems

Dynamic Instrumentation and Optimization for GPU Applications

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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