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High-throughput bayesian computing machine with reconfigurable hardware

Mingjie Lin, Ilia Lebedev, John Wawrzynek

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Tags: Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9400 M

January 9, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

Four styles of parallel and net programming

Zhiwei Xu, Yongqiang He, Wei Lin, Li Zha

Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques

January 8, 2011 by hgpu

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

Naga K. Govindaraju, Ming C. Lin, Dinesh Manocha

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Tags: 3D Graphics and Realism, Collision detection, Computer science, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

January 8, 2011 by hgpu

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Hoang Pham, Hoang Pham

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2

January 8, 2011 by hgpu

Parallel algorithms to a parallel hardware: Designing vision algorithms for a GPU

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, Optical flow

January 8, 2011 by hgpu

ClearPath: highly parallel collision avoidance for multi-agent simulation

Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming Lin, Dinesh Manocha, Pradeep Dubey

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Tags: Artificial intelligence, Computer science, Larrabee, Optimization

January 8, 2011 by hgpu

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

M. W. Hall, Y. Gil, R. F. Lucas

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Tags: Compilers, Computer science, FPGA, nVidia, Optimization, Performance

January 8, 2011 by hgpu

Metaprogramming GPUs with Sh

Michael McCool, Stefanus Du Toit

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Tags: ATI, Book, Computer science, High-level Languages, nVidia, Sh

January 8, 2011 by hgpu

Combining computer vision and physics simulations using GPGPU

Justin Hensley, John Isidoro, Arcot J. Preetham

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Tags: ATI, Computer science, Computer vision

January 7, 2011 by hgpu

Thousand core chips: a technology perspective

Shekhar Borkar

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Tags: Architecture, Computer science, Review

January 7, 2011 by hgpu

A Unified Runtime System for Heterogeneous Multi-core Architectures

Cedric Augonnet, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia Quadro FX 4600

January 7, 2011 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

High-throughput bayesian computing machine with reconfigurable hardware

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Four styles of parallel and net programming

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Parallel algorithms to a parallel hardware: Designing vision algorithms for a GPU

ClearPath: highly parallel collision avoidance for multi-agent simulation

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

Metaprogramming GPUs with Sh

Combining computer vision and physics simulations using GPGPU

Thousand core chips: a technology perspective

A Unified Runtime System for Heterogeneous Multi-core Architectures

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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