high performance computing on graphics processing units: hgpu.org

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Real-Time Concurrent Linked List Construction on the GPU

Jason C. Yang, Justin Hensley, Holger Grun, Nicolas Thibieroz

Tags: Computer science, Data Structures and Algorithms, DirectX, OpenGL

December 14, 2010 by hgpu

GPU Rendering of Relief Mapped Conical Frusta

D. Bhagvat, S. Jeschke, D. Cline, P. Wonka

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Tags: 3D Graphics and Realism, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

December 14, 2010 by hgpu

GPU-Assisted High Quality Particle Rendering

Deukhyun Cha, Sungjin Son, Insung Ihm

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Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Presentation

December 14, 2010 by hgpu

A Flexible Kernel for Adaptive Mesh Refinement on GPU

Boubekeur, T., Schlick, C.

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Tags: Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Triangular meshes

December 14, 2010 by hgpu

A GPU based real-time GPS software receiver

Thomas Hobiger, Tadahiro Gotoh, Jun Amagai, Yasuhiro Koyama, Tetsuro Kondo

Tags: CUDA, FFT, nVidia, Signal processing

December 14, 2010 by hgpu

Scalable Programming Models for Massively Multicore Processors

M. D. McCool

Tags: Cell processor, Computer science, Programming techniques

December 14, 2010 by hgpu

Specular Effects on the GPU: State of the Art

Laszlo Szirmay-Kalos, Tamas Umenhoffer, Gustavo Patow, Laszlo Szecsi, Mateu Sbert

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, Rendering

December 14, 2010 by hgpu

OpenMP in Multicore Architectures (tech. report)

Venkatesan Packirisamy, Harish Barathvajasankar

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

OpenMP on Multicore Architectures

Christian Terboven, Dieter An Mey, Samuel Sarholz

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David Patterson, John Shalf, Katherine Yelick

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Tags: Cell processor, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 280, Performance

December 14, 2010 by hgpu

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

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Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 2010 by hgpu

Embracing Heterogeneity: Parallel Programming for Changing Hardware

Michael D. Linderman, James Balfour, Teresa H. Meng, William J. Dally

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Tags: Architecture, Computer science, Programming techniques

December 13, 2010 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Real-Time Concurrent Linked List Construction on the GPU

GPU Rendering of Relief Mapped Conical Frusta

GPU-Assisted High Quality Particle Rendering

A Flexible Kernel for Adaptive Mesh Refinement on GPU

A GPU based real-time GPS software receiver

Scalable Programming Models for Massively Multicore Processors

Specular Effects on the GPU: State of the Art

OpenMP in Multicore Architectures (tech. report)

OpenMP on Multicore Architectures

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Embracing Heterogeneity: Parallel Programming for Changing Hardware

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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