high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Nachiket Kapre

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, DSP, FPGA, nVidia, nVidia Tegra TX1

August 11, 2016 by hgpu

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

Jung-Hyun Hong, Joo-Yul Park, Ki-Seok Chung

View

Download (PDF)

Tags: Computer science, Error recovery, Heterogeneous systems, nVidia, nVidia GeForce GTX 860 M, OpenCL

August 11, 2016 by hgpu

Accelerating Computational Finance Simulations with OpenCL

Michail Papadimitriou, Joris Cramwinckel, Ana Lucia Varbanescu

View

Download (PDF)

Tags: Computational finance, Finance, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, OpenMP, performance portability

August 8, 2016 by hgpu

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David Kaeli

View

Download (PDF)

Tags: Algorithms, ATI, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

August 8, 2016 by hgpu

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory

Maciej Wielgosz, Marcin Pietron

View

Download (PDF)

Source codes

Tags: Algorithms, AMD Radeon R9 390, ATI, Computer science, Computer vision, Machine learning, OpenCL, Package, PyOpenCL, Python

August 8, 2016 by hgpu

Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies

Kevin L. Keys, Gary K. Chen, Kenneth Lange

View

Download (PDF)

Source codes

Tags: Bioinformatics, Genetics, Machine learning, nVidia, OpenCL, Package, Statistics, Tesla C2050

August 8, 2016 by hgpu

Daino: A High-level Framework for Parallel and Efficient AMR on GPUs

Mohamed Wahib, Naoya Maruyama, Takayuki Aoki

View

Download (PDF)

Tags: Adaptive Mesh Refinement, CUDA

August 5, 2016 by wahibium

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilya Kulikov, Ralf Schluter, Hermann Ney

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Package, RNN, Speech recognition

August 4, 2016 by hgpu

Parallel experiments with RARE-BLAS

Chemseddine Chohra, Philippe Langlois, David Parello

View

Download (PDF)

Tags: Algorithms, BLAS, Computer science, Intel Xeon Phi, Linear Algebra

August 4, 2016 by hgpu

A survey of sparse matrix-vector multiplication performance on large matrices

Max Grossman, Christopher Thiele, Mauricio Araya-Polo, Florian Frank, Faruk O. Alpak, Vivek Sarkar

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Numerical Analysis, nVidia, Performance, Sparse matrix, survey, Tesla M2070

August 4, 2016 by hgpu

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Blake A. Hechtman, Andrew D. Hilton, Daniel J. Sorin

View

Download (PDF)

Tags: AMD, APU, Computer science, OpenCL, Operating systems, Programming Languages

August 4, 2016 by hgpu

Programming Embedded Manycore: Refinement and Optimizing Compilation of a Parallel Action Language for Hierarchical State Machines

Ivan Llopard

View

Download (PDF)

Tags: Compilers, Computer science, OpenCL, Thesis

August 4, 2016 by hgpu

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

Accelerating Computational Finance Simulations with OpenCL

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory

Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies

Daino: A High-level Framework for Parallel and Efficient AMR on GPUs

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

Parallel experiments with RARE-BLAS

A survey of sparse matrix-vector multiplication performance on large matrices

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Programming Embedded Manycore: Refinement and Optimizing Compilation of a Parallel Action Language for Hierarchical State Machines

Recent source codes

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

Most viewed papers (last 30 days)