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Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Rolf Westerteiger, Fang Chen, Andreas Gerndt, Bernd Hamann, Hans Hagen

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Rendering, Sensing, Visualization

July 25, 2012 by hgpu

Source-to-source transformations for irregular and multithreaded code optimization

Julien Jaeger

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, Thesis

July 24, 2012 by hgpu

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

J.C. Juega, J.I. Gomez, C. Tenllado, S. Verdoolaege, A. Cohen, F. Catthoor

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Tags: Code generation, Computer science, CUDA, nVidia, Tesla M2070

July 24, 2012 by hgpu

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

Uri Verner, Assaf Schuster, Avi Mendelson, Mark Silberstein

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Task scheduling

July 24, 2012 by hgpu

LBCL: multi-device automatic load balancing

Carlos S. de la Lama, Pablo Toharia, Oscar D. Robles, Jose Luis Bosque

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Tags: Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

July 23, 2012 by hgpu

A Comparative Study of OpenACC Implementations

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Tesla C2050

July 23, 2012 by hgpu

Sparse Approximate Inverse Preconditioners for Iterative Solvers on GPUs

Mykola Lukash, Karl Rupp, Siegfried Selberherr

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Sparse linear iterative solvers

July 22, 2012 by hgpu

Space-Time Finite Element Analysis on Graphics Processing Unit Computing Platform

Harish Kumar Luckshetty

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Tags: Algorithms, Computer science, CUDA, FEM, Finite element method, nVidia, Tesla C1060, Thesis

July 22, 2012 by hgpu

Efficient Cross-Device Query Processing

Holger Pirk

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

July 22, 2012 by hgpu

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Sandip B. Bansode

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 280, Security, Thesis

July 20, 2012 by hgpu

Scaling CUDA for Distributed Heterogeneous Processors

Siu Kwan Lam

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, MPI, nVidia, Package, PTX, Python, Thesis

July 20, 2012 by hgpu

GPU-Accelerated Point-Based Color Bleeding

Ryan Daniel Schmitt

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Tags: Algorithms, ATI, ATI Radeon HD 5970, Computer science, Heterogeneous systems, OpenGL, Rasterization, Thesis

July 20, 2012 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

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

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Source-to-source transformations for irregular and multithreaded code optimization

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

LBCL: multi-device automatic load balancing

A Comparative Study of OpenACC Implementations

Sparse Approximate Inverse Preconditioners for Iterative Solvers on GPUs

Space-Time Finite Element Analysis on Graphics Processing Unit Computing Platform

Efficient Cross-Device Query Processing

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Scaling CUDA for Distributed Heterogeneous Processors

GPU-Accelerated Point-Based Color Bleeding

Recent source codes

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

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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