high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

The impact of diverse memory architectures on multicore consumer software: an industrial perspective from the video games domain

George Russel, Colin Riley, Neil Henning, Uwe Dolinsky, Andrew Richards, Alastair F. Donaldson, Alexander S. van Amesfoort

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Tags: Cell processor, Computer science, Memory, Performance, Programming techniques

August 28, 2011 by hgpu

A new multi-core pipelined architecture for executing sequential programs for parallel geospatial computing

Duoduo Liao, Simon Y. Berkovich

Tags: Computer science, Programming techniques

August 28, 2011 by hgpu

Automating GPU computing in MATLAB

Chun-Yu Shei, Pushkar Ratnalikar, Arun Chauhan

Tags: Compilers, Computer science, Heterogeneous systems, Performance

August 28, 2011 by hgpu

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

N.A. Vandal, M. Savvides

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 470, Security

August 28, 2011 by hgpu

Real-time task reconfiguration support applied to an UAV-based surveillance system

Alecio Pedro Delazari Binotto, Edison Pignaton de Freitas, Carlos Eduardo Pereira, Andre Stork, Tony Larsson

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GT

August 28, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

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Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

Global Illumination for Advanced Computer Graphics

M. Robart, S. Hill, E. Tanguy

Tags: 3D Graphics and Realism, Algorithms, Computer science, Overview, Rasterization, Raytracing, Rendering

August 28, 2011 by hgpu

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Kalyan S. Perumalla

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Review

August 27, 2011 by hgpu

directCell: hybrid systems with tightly coupled accelerators

H. Penner, U. Bacher, J. Kunigk, C. Rund, H. J. Schick

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Tags: Cell processor, Computer science, Hybrid computing, Performance

August 27, 2011 by hgpu

A breadth-first course in multicore and manycore programming

Suzanne Rivoire

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Tags: Computer science, CUDA, High-level Languages, nVidia, OpenMP, Programming techniques

August 27, 2011 by hgpu

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Xue-Xin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Tan

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Tags: Algorithms, CAD, Computer science, CUDA, Numerical Analysis, nVidia, Performance, Tesla C1060

August 27, 2011 by hgpu

Automatic contention detection and amelioration for data-intensive operations

John Cieslewicz, Kenneth A. Ross, Kyoho Satsumi, Yang Ye

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Tags: Computer science, Databases, Performance

August 27, 2011 by hgpu

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

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

The impact of diverse memory architectures on multicore consumer software: an industrial perspective from the video games domain

A new multi-core pipelined architecture for executing sequential programs for parallel geospatial computing

Automating GPU computing in MATLAB

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

Real-time task reconfiguration support applied to an UAV-based surveillance system

Collaborative execution environment for heterogeneous parallel systems

Global Illumination for Advanced Computer Graphics

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

directCell: hybrid systems with tightly coupled accelerators

A breadth-first course in multicore and manycore programming

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Automatic contention detection and amelioration for data-intensive operations

Recent source codes

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

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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