high performance computing on graphics processing units: hgpu.org

hgpu.org » FPGA

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

View

Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

An Analysis of Programmer Productivity versus Performance for High Level Data Parallel Programming

Alex Cole, Alistair McEwan, Satnam Singh

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 460, Programming techniques

October 14, 2011 by hgpu

High Performance Computing with Accelerators

K.A. Akshita

View

Download (PDF)

Tags: Cell processor, Computer science, FPGA, nVidia, Performance, Review

October 12, 2011 by hgpu

PyPs, a programmable pass manager

Serge Guelton, Mehdi Amini, Ronan Keryell, Beatrice Creusillet

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, OpenMP

October 11, 2011 by hgpu

High Performance Parallel Design Based on Session Programming

Nicholas Ng

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, Java, N-body simulation, nVidia, Package, Performance, Tesla, Thesis

October 11, 2011 by hgpu

Programming framework for clusters with heterogeneous accelerators

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

View

Download (PDF)

Tags: Computer science, Finance, FPGA, Heterogeneous systems, Physics, Programming techniques, Tesla

October 8, 2011 by hgpu

Efficient reconfigurable design for pricing asian options

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

View

Download (PDF)

Tags: Computational finance, CUDA, Finance, FPGA, Tesla

October 8, 2011 by hgpu

Run-time Reconfigurable Multiprocessors

Madhura Purnaprajna

View

Download (PDF)

Tags: ATI, Computer science, FPGA, Hardware Architecture, nVidia, Performance, Thesis

October 7, 2011 by hgpu

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Jens Krueger, David Donofrio, John Shalf, Marghoob Mohiyuddin, Samuel Williams, Leonid Oliker, Franz-Josef Pfreundt

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, FPGA, nVidia, PC cluster, Seismic modeling, Seismology, Tesla C2050, Wave equation

October 2, 2011 by hgpu

Customizable Domain-Specific Computing

Jason Cong, Glenn Reinman, Alex Bui, Vivek Sarkar

View

Download (PDF)

Tags: Computer science, FPGA, nVidia, Performance, Programming techniques, Tesla C1060

October 1, 2011 by hgpu

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Ozisikyilmaz, Sanchit Misra, Gokhan Memik

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, FPGA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT

September 30, 2011 by hgpu

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

Thomas Grosser, Alexandros Gremm, Sebastian Veith, Gerald Heim, Wolfgang Rosenstiel, Victor Medeiros, Manoel Eusebio de Lima

View

Download (PDF)

Tags: Earth and Space Sciences, FPGA, Geoscience, Heterogeneous systems, nVidia, OpenCL, Optimization, Seismic modeling, Seismology, Tesla T10P

September 25, 2011 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

* * *

high performance computing on graphics processing units: hgpu.org

Characterization of FPGA-based High Performance Computers

An Analysis of Programmer Productivity versus Performance for High Level Data Parallel Programming

High Performance Computing with Accelerators

PyPs, a programmable pass manager

High Performance Parallel Design Based on Session Programming

Programming framework for clusters with heterogeneous accelerators

Efficient reconfigurable design for pricing asian options

Run-time Reconfigurable Multiprocessors

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Customizable Domain-Specific Computing

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Most viewed papers (last 30 days)