high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Jacques M. Bahi, Raphael Couturier, Lilia Ziane Khodja

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Sparse matrix, Tesla C1060

November 25, 2011 by hgpu

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Shi Pu, Pu Duan, Jyh-Charn Liu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Security, Tesla C870

November 25, 2011 by hgpu

Fast hough transform on GPUs: exploration of algorithm trade-offs

Gert-Jan van den Braak, Cedric Nugteren, Bart Mesman, Henk Corporaal

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

November 25, 2011 by hgpu

Decryption-decompression of AES protected ZIP files on GPUs

Tan Nhat Duong, Phong Hong Pham, Duc Huu Nguyen, Thuy Thanh Nguyen, Hung Duc Le

View

Download (PDF)

Tags: AES, Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security

November 25, 2011 by hgpu

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Isha Sanjay Deshpande

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia Quadro FX 5600, Thesis

November 25, 2011 by hgpu

Coupler Design and Optimization by GPU-Accelerated DG-FEM

C. Potratz, H.-W. Glock, U. van Rienen

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 470, Optimization

November 25, 2011 by hgpu

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali R. Butt, Srimat Chakradhar

View

Download (PDF)

Tags: Cluster computing, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

November 24, 2011 by hgpu

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Alexandru Pirjan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data mining, MapReduce, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Review

November 24, 2011 by hgpu

Automated architecture-aware mapping of streaming applications onto GPUs

Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Task scheduling, Tesla S1070, Tesla S2050

November 23, 2011 by hgpu

Real-World Constraints of GPUs in Real-Time Systems

Glenn A. Elliott, James H. Anderson

View

Download (PDF)

Tags: Computer science, Overview, Performance

November 23, 2011 by hgpu

Soren: Adaptive MapReduce for Programmable GPUs

Reza Mokhtari, Amin Abbasi, Farshad Khunjush, Reza Azimi

View

Download (PDF)

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

November 23, 2011 by hgpu

Towards solving the Table Maker’s Dilemma on GPU

Pierre Fortin, Mourad Gouicem, Stef Graillat

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

November 23, 2011 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Fast hough transform on GPUs: exploration of algorithm trade-offs

Decryption-decompression of AES protected ZIP files on GPUs

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Coupler Design and Optimization by GPU-Accelerated DG-FEM

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Automated architecture-aware mapping of streaming applications onto GPUs

Real-World Constraints of GPUs in Real-Time Systems

Soren: Adaptive MapReduce for Programmable GPUs

Towards solving the Table Maker’s Dilemma on GPU

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

Most viewed papers (last 30 days)