high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

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

January 9, 2011 by hgpu

Four styles of parallel and net programming

Zhiwei Xu, Yongqiang He, Wei Lin, Li Zha

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

January 8, 2011 by hgpu

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

Naga K. Govindaraju, Ming C. Lin, Dinesh Manocha

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Tags: 3D Graphics and Realism, Collision detection, Computer science, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

January 8, 2011 by hgpu

A constant-space belief propagation algorithm for stereo matching

Qingxiong Yang, Liang Wang, Narendra Ahuja

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Tags: Algorithms, Computer vision, Image processing, Image recognition, nVidia, nVidia GeForce 8800 GTX

January 8, 2011 by hgpu

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Hoang Pham, Hoang Pham

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2

January 8, 2011 by hgpu

Parallel algorithms to a parallel hardware: Designing vision algorithms for a GPU

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, Optical flow

January 8, 2011 by hgpu

ClearPath: highly parallel collision avoidance for multi-agent simulation

Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming Lin, Dinesh Manocha, Pradeep Dubey

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Tags: Artificial intelligence, Computer science, Larrabee, Optimization

January 8, 2011 by hgpu

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

M. W. Hall, Y. Gil, R. F. Lucas

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Tags: Compilers, Computer science, FPGA, nVidia, Optimization, Performance

January 8, 2011 by hgpu

Metaprogramming GPUs with Sh

Michael McCool, Stefanus Du Toit

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Tags: ATI, Book, Computer science, High-level Languages, nVidia, Sh

January 8, 2011 by hgpu

Combining computer vision and physics simulations using GPGPU

Justin Hensley, John Isidoro, Arcot J. Preetham

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Tags: ATI, Computer science, Computer vision

January 7, 2011 by hgpu

Thousand core chips: a technology perspective

Shekhar Borkar

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Tags: Architecture, Computer science, Review

January 7, 2011 by hgpu

A Unified Runtime System for Heterogeneous Multi-core Architectures

Cedric Augonnet, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia Quadro FX 4600

January 7, 2011 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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high performance computing on graphics processing units: hgpu.org

Applications

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Four styles of parallel and net programming

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

A constant-space belief propagation algorithm for stereo matching

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Parallel algorithms to a parallel hardware: Designing vision algorithms for a GPU

ClearPath: highly parallel collision avoidance for multi-agent simulation

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

Metaprogramming GPUs with Sh

Combining computer vision and physics simulations using GPGPU

Thousand core chips: a technology perspective

A Unified Runtime System for Heterogeneous Multi-core Architectures

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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