Programming

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Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Matthew Moskewicz, Forrest Iandola, Kurt Keutzer

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Tags: ARM, CNN, Computer science, Deep learning, Linear Algebra, Machine learning, Mathematical Software, Neural networks, OpenCL

June 7, 2016 by hgpu

Bit-Vectorized GPU Implementation of a Stochastic Cellular Automaton Model for Surface Growth

Jeffrey Kelling, Geza Odor, Sibylle Gemming

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Tags: Computational Physics, Computer science, CUDA, Materials Science, nVidia, nVidia GeForce GTX Titan X, nVidia GeForce Titan Black, Statistical Mechanics, Tesla K80

June 7, 2016 by hgpu

Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs

Bo Yang, Hui Liu, Zhangxin Chen

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Tags: Computer science, CUDA, Linear Algebra, Mathematical Software, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

June 7, 2016 by hgpu

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

Tobias Gysi, Tobias Grosser, Torsten Hoefler

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Tags: Analytical model, CUDA, nVidia, Optimization, Package, Stencil computation, Tesla K20

June 3, 2016 by gysit

Challenges for a GPU-Accelerated Dynamic Programming Approach for Join-Order Optimization

Andreas Meister, Gunter Saake

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Tags: Algorithms, Computer science, Databases

June 2, 2016 by hgpu

Solver for Systems of Linear Equations with Infinite Precision on a GPU Cluster

Jiri Khun

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Tags: AMD Radeon HD 8750 M, ATI, Computer science, Extended precision, GPU cluster, Linear Algebra, Modular arithmetic, MPI, OpenCL

June 2, 2016 by hgpu

Processing Posting Lists Using OpenCL

Radha Kotipalli

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Tags: Computer science, Intel HD Graphics 4000, nVidia Quadro K 2000 M, OpenCL, Thesis

June 2, 2016 by hgpu

Disc: Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs

Marcus Bergholm, Viktor Kronvall

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Tags: Algorithms, Computer science, CUDA, Image generation, Nearest neighbour, nVidia, nVidia GeForce GTX 970, Sorting, Thesis

June 2, 2016 by hgpu

Weighted Residuals for Very Deep Networks

Falong Shen, Gang Zeng

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Tags: Algorithms, Computer science, Computer vision, CUDA, Deep learning, nVidia, nVidia GeForce GTX Titan X

June 2, 2016 by hgpu

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Hannes Fassold

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Tags: Computer vision, CUDA, GPU, KLT, Optical flow, SIFT

May 31, 2016 by HannesF99

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library

Joseph L. Greathouse, Kent Knox, Jakub Pola, Kiran Varaganti, Mayank Daga

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Tags: Algorithms, AMD Radeon R9 Fury X, ATI, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX Titan X, OpenCL, Package, Sparse matrix

May 30, 2016 by hgpu

Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs

Konstantinos Krommydas, Ahmed E. Helal, Anshuman Verma, Wu-Chun Feng

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Tags: Benchmarking, Computer science, FPGA, Intel Xeon Phi, OpenCL, performance portability, Tesla C2070, Tesla K20

May 30, 2016 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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high performance computing on graphics processing units: hgpu.org

Programming

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Bit-Vectorized GPU Implementation of a Stochastic Cellular Automaton Model for Surface Growth

Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

Challenges for a GPU-Accelerated Dynamic Programming Approach for Join-Order Optimization

Solver for Systems of Linear Equations with Infinite Precision on a GPU Cluster

Processing Posting Lists Using OpenCL

Disc: Approximative Nearest Neighbor Search using Ellipsoids for Photon Mapping on GPUs

Weighted Residuals for Very Deep Networks

Computer Vision on the GPU — Tools, Algorithms and Frameworks

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library

Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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