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Impact of GPU Memory Access Patterns on FDTD

Matthew Livesey, James F. Stack Jr., Fumie Costenz, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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Tags: Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Performance, Tesla M2050

October 30, 2012 by hgpu

Characterization and Exploitation of GPU Memory Systems

Kenneth Sydney Lee

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Tags: AMD Fusion, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Computer science, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL, Performance, Tesla C2075, Thesis

October 30, 2012 by hgpu

A GPU Approach to Fortran Legacy Systems

Mariano Mendez, Fernando G. Tinetti

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Tags: Computer science, CUDA, Fortran, nVidia, OpenACC, Programming techniques, Tesla C2075

October 29, 2012 by hgpu

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Daniel Jonsson, Joel Kronander, Timo Ropinski, Anders Ynnerman

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, Rendering

October 28, 2012 by hgpu

Analysis & Design of Efficient Cryptographic Systems

Michael Lehmann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Security, Stream Ciphers

October 28, 2012 by hgpu

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

A.F. van Dixhoorn, J. Milles, B. van Lew, C.P. Botha

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Tags: Computer science, Filtering, Image generation, MRI, OpenCL, OpenGL, Package, Rendering, Visualization

October 26, 2012 by hgpu

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

Nicholas John Moore

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Tags: Computer science, CUDA, FPGA, Image reconstruction, nVidia, Optimization, Tesis, Tesla C1060, Tesla C2070

October 26, 2012 by hgpu

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

James Laurence Brock

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 560 Ti, OpenCL, Tesla C1060, Tesla S1070, Thesis

October 26, 2012 by hgpu

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

David Sheffield, Michael Anderson, Kurt Keutzer

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Tags: Computer science, Design space exploration, FPGA, Package, Python

October 25, 2012 by hgpu

A structural analysis of the A5/1 state transition graph

Andreas Beckmann, Jaroslaw Fedorowicz, Jorg Keller, Ulrich Meyer

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers, Tesla C1060

October 25, 2012 by hgpu

A Comparison of Sequential and GPU Implementations of Iterative Methods to Compute Reachability Probabilities

Elise Cormie-Bowins

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Tags: Computer science, CUDA, Logic in Computer Science, nVidia, nVidia GeForce GTX 260, Probabilistic model checking

October 25, 2012 by hgpu

Research for Chinese Spam Filtering Based on GPU

Yong Liu, Zongshui Wang, Qinde Zhao, Zhengwen Lai

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 550 Ti, Security

October 24, 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

Impact of GPU Memory Access Patterns on FDTD

Characterization and Exploitation of GPU Memory Systems

A GPU Approach to Fortran Legacy Systems

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Analysis & Design of Efficient Cryptographic Systems

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

A structural analysis of the A5/1 state transition graph

A Comparison of Sequential and GPU Implementations of Iterative Methods to Compute Reachability Probabilities

Research for Chinese Spam Filtering Based on GPU

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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