high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

GPU Supported Patch-Based Tessellation for Dual Subdivision

Fengtao Fan, Fuhua (Frank) Cheng

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Rendering

December 27, 2010 by hgpu

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Veerendra Allada, Troy Benjegerdes, Brett Bode

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Tags: Computer science, CUDA, GPU cluster, nVidia, Performance, Presentation, Tesla S1070, Tesla T10

December 27, 2010 by hgpu

Interactive Streak Surface Visualization on the GPU

Kai Bürger, Florian Ferstl, Holger Theisel, Rudiger Westermann

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Tags: Computer science, DirectX, nVidia, nVidia GeForce GTX 280, Visualization

December 27, 2010 by hgpu

Accelerating geometric queries using the GPU

Adarsh Krishnamurthy, Sara McMains, Kirk Halle

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Tags: Algorithms, Computer science, Image generation, nVidia

December 27, 2010 by hgpu

Novel Architectures: Solving Computational Problems with GPU Computing

Jonathan Cohen, Michael Garland

Tags: Computer science, CUDA, nVidia, Review

December 27, 2010 by hgpu

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Review

December 27, 2010 by hgpu

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Computer science, CUDA, Databases, Neuroscience, nVidia, nVidia GeForce GTX 280

December 27, 2010 by hgpu

CGiS, a new Language for Data-parallel GPU Programming

Nicolas Fritz, Philipp Lucas, Philipp Slusallek

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Tags: Cg, Computer science, High-level Languages, nVidia

December 26, 2010 by hgpu

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Nachiket Kapre, Andre DeHon

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Tags: Cell processor, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9600 GT, Performance

December 26, 2010 by hgpu

Direct Point Rendering on GPU

Hiroaki Kawata, Takashi Kanai

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6, OpenGL, Rendering

December 26, 2010 by hgpu

Performance Study of LU Decomposition on the Programmable GPU

Fumihiko Ino, Manabu Matsui, Keigo Goda, Kenichi Hagihara

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Tags: Cg, Computer science, Linear Algebra, nVidia, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 3400, OpenGL

December 26, 2010 by hgpu

KD-tree acceleration structures for a GPU raytracer

Tim Foley, Jeremy Sugerman

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X800, Computer science, Image processing, Raytracing

December 26, 2010 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

GPU Supported Patch-Based Tessellation for Dual Subdivision

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Interactive Streak Surface Visualization on the GPU

Accelerating geometric queries using the GPU

Novel Architectures: Solving Computational Problems with GPU Computing

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

CGiS, a new Language for Data-parallel GPU Programming

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Direct Point Rendering on GPU

Performance Study of LU Decomposition on the Programmable GPU

KD-tree acceleration structures for a GPU raytracer

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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