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Dax Toolkit: A Proposed Framework for Data Analysis and Visualization at Extreme Scale

Kenneth Moreland, Utkarsh Ayachit, Berk Geveci, Kwan-Liu Ma

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming techniques, Tesla C2050, Visualization

November 17, 2011 by hgpu

Safe Asynchronous Multicore Memory Operations

Matko Botincan, Mike Dodds, Alastair F. Donaldson, Matthew J. Parkinson

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Tags: Computer science, Memory model, Programming techniques

November 12, 2011 by hgpu

High-Level Design for FPGA-based Multiprocessor Accelerators

Diana Gohringer, Matthias Birk, Michael Hubner, Jurgen Becker

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Tags: Computer science, FPGA, Heterogeneous systems, Programming techniques

November 7, 2011 by hgpu

Functional Programming for High-Performance Computing on Heterogeneous Architectures

Sylvain Henry

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Optimization, Performance, Programming Languages, Programming techniques

November 7, 2011 by hgpu

A Preliminary Review of Literature on Parallel Constraint Solving

Ian P. Gent, Chris Jefferson, Ian Miguel, Neil C.A. Moore, Peter Nightingale, Patrick Prosser, Chris Unsworth

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Tags: Computer science, Programming techniques, Review

November 1, 2011 by hgpu

Intermediate Language Extensions for Parallelism

Jisheng Zhao, Vivek Sarkar

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Tags: Computer science, Java, Optimization, Programming techniques

October 30, 2011 by hgpu

Programming Massively Parallel Processors with CUDA (audio course)

David B. Kirk, Wen-Mei W. Hwu

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Source codes

Tags: Book, Computer science, CUDA, nVidia, OpenCL, Package, Programming techniques, Review, Tutorial

October 28, 2011 by hgpu

Development of a volume rendering system using 3D texture compression techniques on general-purpose personal computers

Akio Doi, Hiroki Takahashi, Taro Mawatari, Sachio Mega

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Tags: Algorithms, Compression, Computer science, nVidia, nVidia Quadro FX 1800, OpenGL, Programming techniques, Rendering

October 27, 2011 by hgpu

Hardware Transactional Memory for GPU Architectures

Wilson W. L. Fung, Inderpreet Singh, Andrew Brownsword, Tor M. Aamodt

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Tags: Bloom filter, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, Programming techniques

October 22, 2011 by hgpu

Automatic program analysis for data parallel kernels

Calin Juravle

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Programming techniques, Thesis

October 20, 2011 by hgpu

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

Ana Balevic, Bart Kienhuis

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, nVidia, Programming techniques, Tesla C2050

October 19, 2011 by hgpu

A Code Transformation Framework for Scientific Applications on Structured Grids

Pei-Hung Lin, Jagan Jayaraj, Paul Woodward, Pen-chung Yew

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Tags: Compilers, Computer science, Fluid dynamics, Optimization, Performance, Programming techniques

October 19, 2011 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

Dax Toolkit: A Proposed Framework for Data Analysis and Visualization at Extreme Scale

Safe Asynchronous Multicore Memory Operations

High-Level Design for FPGA-based Multiprocessor Accelerators

Functional Programming for High-Performance Computing on Heterogeneous Architectures

A Preliminary Review of Literature on Parallel Constraint Solving

Intermediate Language Extensions for Parallelism

Programming Massively Parallel Processors with CUDA (audio course)

Development of a volume rendering system using 3D texture compression techniques on general-purpose personal computers

Hardware Transactional Memory for GPU Architectures

Automatic program analysis for data parallel kernels

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

A Code Transformation Framework for Scientific Applications on Structured Grids

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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