high performance computing on graphics processing units: hgpu.org

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Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes

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Tags: Computer science, Computer vision, nVidia, OpenCL, Thesis

March 22, 2015 by hgpu

Raising the Bar for Using GPUs in Software Packet Processing

Anuj Kalia, Dong Zhou, Michael Kaminsky, David G. Andersen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650 Ti, nVidia GeForce GTX 980, Performance, Tesla K20

March 22, 2015 by hgpu

Evaluating kernels on Xeon Phi to accelerate Gysela application

G. Latu, M. Haefele, J. Bigot, V. Grandgirard, T. Cartier-Michaud, F. Rozar

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Tags: Computational Physics, Intel Xeon Phi, Physics

March 22, 2015 by hgpu

Single stream parallelization of generalized LSTM-like RNNs on a GPU

Kyuyeon Hwang, Wonyong Sung

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla K40

March 22, 2015 by hgpu

CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication

Weifeng Liu, Brian Vinter

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Tags: Algorithms, AMD Radeon R9 290X, Benchmarking, Computer science, CUDA, Intel Xeon Phi, Mathematical Software, nVidia, nVidia GeForce GTX 980, OpenCL, Package, Performance, Sparse matrix

March 20, 2015 by hgpu

Interactive Illustrative Line Styles and Line Style Transfer Functions for Flow Visualization

Maarten H. Everts, Henk Bekker, Jos B.T.M. Roerdink, Tobias Isenberg

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Tags: Computer science, Graphics, nVidia, nVidia GeForce GTX 285, Visualization

March 20, 2015 by hgpu

On learning optimized reaction diffusion processes for effective image restoration

Yunjin Chen, Wei Yu, Thomas Pock

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 780 Ti

March 20, 2015 by hgpu

The More We Share, The More We Have: Improving GPU performance through Register Sharing

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, Performance

March 20, 2015 by hgpu

Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning

Ken Miura, Tatsuya Harada

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Tags: Algorithms, Computer science, Java, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, WebCL

March 20, 2015 by hgpu

Fast Sparse Matrix Multiplication on GPU

Lukas Polok, Viorela Ila, Pavel Smrz

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Sorting, Sparse matrix, Tesla K40

March 18, 2015 by hgpu

Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

Tomas Karnagel, Dirk Habich, Wolfgang Lehner

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Tags: ATI, ATI Radeon HD 7660, Computer science, Databases, Heterogeneous systems, nVidia, OpenCL, Tesla K20

March 18, 2015 by hgpu

Portable GPU-Based Artificial Neural Networks for Accelerated Data-Driven Modeling

Zheng Yi Wu, Mahmoud Elmaghraby

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Tags: Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 460, nVidia Quadro FX 770 M, OpenCL

March 18, 2015 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

Speeding Up Computer Vision Applications on Mobile Computing Platforms

Raising the Bar for Using GPUs in Software Packet Processing

Evaluating kernels on Xeon Phi to accelerate Gysela application

Single stream parallelization of generalized LSTM-like RNNs on a GPU

CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication

Interactive Illustrative Line Styles and Line Style Transfer Functions for Flow Visualization

On learning optimized reaction diffusion processes for effective image restoration

The More We Share, The More We Have: Improving GPU performance through Register Sharing

Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning

Fast Sparse Matrix Multiplication on GPU

Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

Portable GPU-Based Artificial Neural Networks for Accelerated Data-Driven Modeling

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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