high performance computing on graphics processing units: hgpu.org

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LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Jakub Kurzak, P. Luszczek, Mathieu Faverge, Jack J. Dongarra

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Tags: Computer science, CUDA, Factorization, nVidia, Task scheduling, Tesla S2050

April 17, 2013 by hgpu

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6550, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance, Signal processing

April 17, 2013 by hgpu

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Mario Rincon-Nigro, Nikhil V. Navkar, Nikolaos V. Tsekos, Zhigang Deng

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Tags: Computer science, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Visualization

April 12, 2013 by hgpu

NUMA-Aware Image Compositing on Multi-GPU Platform

Pan Wang, Zhi-Quan Cheng, Ralph Martin, Huahai Liu, Xun Cai, Sikun Li

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Rendering

April 12, 2013 by hgpu

Wire Speed Name Lookup: A GPU-based Approach

Yi Wang, Yuan Zu, Ting Zhang, Kunyang Peng, Qunfeng Dong, Bin Liu, Wei Meng, Huichen Dai, Xin Tian, Zhonghu Xu, Hao Wu, Di Yang

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Tags: Computer science, CUDA, Filtering, Networks, nVidia, nVidia GeForce GTX 590

April 12, 2013 by hgpu

Real-time Subsurface Scattering for Particle-based Fluids using Finite Volume Method

Kyung-Kyu Kang, Dongho Kim

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Tags: Computer science, CUDA, Diffusion equation, Finite volume method, Fluid simulation, GLSL, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenGL, Rendering, Voronoi diagram

April 12, 2013 by hgpu

Modeling of High Performance Programs to Support Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Software Engineering, Tesla M2070, Thesis

April 9, 2013 by hgpu

OpenCL Fast Fourier Transform

Ruobing Li

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Tags: Computer science, FFT, nVidia, OpenCL, Package, Tesla M2070

April 9, 2013 by hgpu

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

Palden Lama, Yan Li, Ashwin M. Aji, Pavan Balaji, James Dinan, Shucai Xiao, Yunquan Zhang, Wu-chun Feng, Rajeev Thakur, Xiaobo Zhou

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Tags: Computer science, Energy-efficient computing, nVidia, OpenCL, Tesla C1060, Virtualization

April 8, 2013 by hgpu

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6670, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

April 8, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

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Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 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

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

NUMA-Aware Image Compositing on Multi-GPU Platform

Wire Speed Name Lookup: A GPU-based Approach

Real-time Subsurface Scattering for Particle-based Fluids using Finite Volume Method

Modeling of High Performance Programs to Support Heterogeneous Computing

OpenCL Fast Fourier Transform

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

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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