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Parallelization of PageRank on Multicore Processors

Tarun Kumar, Parikshit Sondhi, Ankush Mittal

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Tags: Algorithms, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

April 14, 2012 by hgpu

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

Filippo Spiga, Ivan Girotto

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Tags: Benchmarking, BLAS, Computer science, CUDA, FFT, Matrix multiplication, nVidia, Package, Tesla C2050

April 14, 2012 by hgpu

GPU parallel computing: Programming language, debugging tools and data structures

Kun Zhou

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming Languages

April 14, 2012 by hgpu

A GPU Memory System Comparison for an Elliptic Test Problem

Yu Wang, Marc Olano, Matthias K. Gobbert, Wesley Griffin

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, Memory model, nVidia, Poisson equation, Tesla C2070

April 13, 2012 by hgpu

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Unmesh Bordoloi, Ahmed Rezine

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050

April 13, 2012 by hgpu

Writing a modular GPGPU program in Java

Masayuki Ioki, Shumpei Hozumi, Shigeru Chiba

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Tags: Computer science, CUDA, Fortran, Java, nVidia, Tesla M2050

April 13, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala

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Tags: Computer science, CUDA, nVidia, Programming Languages, Software Engineering

April 12, 2012 by hgpu

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Shinpei Kato, Karthik Lakshmanan, Aman Kumar, Mihir Kelkar, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques

April 11, 2012 by hgpu

Real-time Visualization of Streaming Text with Force-Based Dynamic System

Jamal Alsakran, Yang Chen, Dongning Luo, Ye Zhao, Jing Yang, Wenwen Dou, Shixia Liu

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Tags: Computer science, CUDA, nVidia, nVidia Quadro NVS 295, Visualization

April 11, 2012 by hgpu

Dynamic Programming with CUDA – Part II

Robert Hochberg

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Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, Package, Review

April 10, 2012 by hgpu

A Comparative Study of Parallel Algorithms for the Girth Problem

Michael J. Dinneen, Masoud Khosravani, Kuai Wei

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

April 10, 2012 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

Parallelization of PageRank on Multicore Processors

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

GPU parallel computing: Programming language, debugging tools and data structures

A GPU Memory System Comparison for an Elliptic Test Problem

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Writing a modular GPGPU program in Java

Parallel programming with CUDA

Verifying GPU Kernels by Test Amplification

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Real-time Visualization of Streaming Text with Force-Based Dynamic System

Dynamic Programming with CUDA – Part II

A Comparative Study of Parallel Algorithms for the Girth Problem

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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