high performance computing on graphics processing units: hgpu.org

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Accurate Cross-Architecture Performance Modeling for Sparse Matrix-Vector Multiplication (SpMV) on GPUs

Ping Guo, Liqiang Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Performance, Sparse matrix, Tesla C2050, Tesla K20, Tesla M2090

February 11, 2014 by hgpu

Implementing the Projected Spatial Rich Features on a GPU

Andrew D. Ker

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Tags: Computer science, CUDA, Machine learning, nVidia, Tesla K20

February 11, 2014 by hgpu

Genetically Improved CUDA C++ Software

W. B. Langdon, M. Harman

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, nVidia Quadro NVS 290, Package, Tesla C2050, Tesla K20, Tesla T10

February 11, 2014 by hgpu

GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers

Naoki Shibata, Shinya Yamamoto

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Tags: Augmented reality, Computer science, Java, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 670, OpenCL

February 9, 2014 by hgpu

Benchmarks for Intel MIC Architecture

Emprise Y.K. Chan

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Tags: Benchmarking, Computer science, Intel Xeon Phi, Monte Carlo simulation

February 9, 2014 by hgpu

Extending the SkelCL Skeleton Library for Stencil Computations on Multi-GPU Systems

Stefan Breuer, Michel Steuwer, Sergei Gorlatch

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Tags: Computer science, nVidia, OpenCL, Tesla S1070

February 9, 2014 by hgpu

A Scalable Multi-Path Microarchitecture for Efficient GPU Control Flow

Ahmed ElTantawy, Jessica Wenjie Ma, Mike O'Connor, Tor M. Aamodt

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Tags: Computer science, Hardware Architecture, Performance

February 9, 2014 by hgpu

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Ji-Hoon Kang, Syung-Og An, Shin-Jin Kang, Seok-Hun Kim, SooKyun Kim

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Tags: 3D Graphics and Realism, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTX 285, OpenGL, Raytracing, Rendering

February 8, 2014 by hgpu

Developmental Directions in Parallel Accelerators

K.A. Hawick, D.P. Playne

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Tags: Benchmarking, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan

February 8, 2014 by hgpu

Auto-Generation and Auto-Tuning of 3D Stencil Codes on Homogeneous and Heterogeneous GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tesla C2050

February 5, 2014 by hgpu

Depth Map Based Superresolution Method in 3D Reconstruction

Gabriel Bernardino

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla C1060, Thesis

February 5, 2014 by hgpu

Improved Implementation of Simulation for Membrane Computing on the Graphic Processing Unit

Ali Maroosi, Ravie Chandren Muniyandi, Elankovan A. Sundararajan, Abdullah Mohd Zin

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Tags: Computer science, CUDA, Membrane computing, nVidia, nVidia GeForce GTX 480

February 5, 2014 by hgpu

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

Accurate Cross-Architecture Performance Modeling for Sparse Matrix-Vector Multiplication (SpMV) on GPUs

Implementing the Projected Spatial Rich Features on a GPU

Genetically Improved CUDA C++ Software

GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers

Benchmarks for Intel MIC Architecture

Extending the SkelCL Skeleton Library for Stencil Computations on Multi-GPU Systems

A Scalable Multi-Path Microarchitecture for Efficient GPU Control Flow

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Developmental Directions in Parallel Accelerators

Auto-Generation and Auto-Tuning of 3D Stencil Codes on Homogeneous and Heterogeneous GPU Clusters

Depth Map Based Superresolution Method in 3D Reconstruction

Improved Implementation of Simulation for Membrane Computing on the Graphic Processing Unit

Recent source codes

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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