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Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

Tobias Beisel, Tobias Wiersema, Christian Plessl, Andre Brinkmann

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package, Task scheduling

May 19, 2012 by hgpu

Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU

Hong Zhang, Da-fang Zhang, Xia-an Bi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

May 19, 2012 by hgpu

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600, OpenGL

May 19, 2012 by hgpu

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Ivaneik Ondrej, Ivan Simecek

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Package, Sparse matrix, Thesis

May 19, 2012 by hgpu

Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication

Ping Guo, Liqiang Wang

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 19, 2012 by hgpu

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

Carlos Gonzalez, Sergio Sanchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza

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Tags: Algorithms, CUDA, FPGA, Image processing, nVidia, Sensing, Tesla C1060

May 19, 2012 by hgpu

An Introduction to the OpenCL Programming Model

Jonathan Thompson, Kristofer Schlachter

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 6750 M, Computer science, Matrix multiplication, nVidia, nVidia Quadro FX 2000, OpenCL, Overview, Tutorial

May 16, 2012 by hgpu

GPU accelerated Nonlinear Soft Tissue Deformation

Sathish Kottravel

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Tags: Algorithms, CUDA, FEM, Finite element method, Medicine, nVidia, nVidia GeForce GTX 290, Surgical simulation, Thesis

May 16, 2012 by hgpu

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

Sangpil Lee, Won W. Ro

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 285

May 16, 2012 by hgpu

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

Ping Li, Anshumali Shrivastava, Arnd Christian Konig

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Tags: Algorithms, Computer science, CUDA, Databases, Hashing, Information Retrieval, nVidia, Tesla C2050

May 16, 2012 by hgpu

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

Paolo D'Alberto

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6750, Computer science, Heterogeneous systems, Mathematical Software, Matrix multiplication, OpenCL

May 16, 2012 by hgpu

The BiConjugate gradient method on GPUs

G. Ortega, E. M. Garzon, F. Vazquez, I. Garcia

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 15, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

An Introduction to the OpenCL Programming Model

GPU accelerated Nonlinear Soft Tissue Deformation

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

The BiConjugate gradient method on GPUs

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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