high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Theano: Deep Learning on GPUs with Python

James Bergstra, Frederic Bastien, Olivier Breuleux, Pascal Lamblin, Razvan Pascanu, Olivier Delalleau, Guillaume Desjardins, David Warde-Farley, Ian Goodfellow, Arnaud Bergeron, Yoshua Bengio

View

Download (PDF)

Source codes

Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Python

January 16, 2012 by hgpu

Data Triage and Visual Analytics for Scientific Visualization

Teng-Yok Lee

View

Download (PDF)

Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Thesis, Visualization

January 16, 2012 by hgpu

Parallel AES Encryption Engines for Many-Core Processor Arrays

Bin Liu, Bevan M. Baas

View

Download (PDF)

Tags: AES, Computer science, DSP, nVidia, nVidia GeForce 8800 GTX, Security

January 16, 2012 by hgpu

Nested Intervals Tree Encoding with System of Residual Classes

A. Malikov, A. Turyev

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia

January 16, 2012 by hgpu

Spectral Method Characterization on FPGA and GPU Accelerators

Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng

View

Download (PDF)

Tags: Computer science, CUDA, DSP, FFT, FPGA, nVidia, nVidia GeForce GTX 280, Performance, Tesla C2050

January 15, 2012 by hgpu

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Muhammad Hasan Jamal, Nabeel AlSaber

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5600

January 15, 2012 by hgpu

Declarative Parallel Programming for GPUs

Eric Holk, William Byrd, Nilesh Mahajan, Jeremiah Willcock, Arun Chauhan, Andrew Lumsdaine

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5770, Compilers, Computer science, nVidia, OpenCL

January 15, 2012 by hgpu

A visibility-based approach for occupancy grid computation in disparity space

Mathias Perrollaz, John-David Yoder, Amaury Negre, Anne Spalanzani, Christian Laugier

View

Download (PDF)

Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Stereo vision

January 15, 2012 by hgpu

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Joao V. F. Lima, Nicolas Maillard, Vincent Danjean, Thierry Gautier

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia

January 14, 2012 by hgpu

Efficient Knowledge Extraction from Structured Data

Bianca Wackersreuther

View

Download (PDF)

Tags: Algorithms, Clustering, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Thesis

January 14, 2012 by hgpu

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Alexander Woodward, Patrice Delmas

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, Stereo vision

January 14, 2012 by hgpu

Accelerating Bit Error Rate Simulation in MATLAB with Graphics Processors

James Lebak, Brian Fanous, Nick Moore

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Parity-check codes, Tesla C1060

January 14, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Theano: Deep Learning on GPUs with Python

Data Triage and Visual Analytics for Scientific Visualization

Parallel AES Encryption Engines for Many-Core Processor Arrays

Nested Intervals Tree Encoding with System of Residual Classes

Spectral Method Characterization on FPGA and GPU Accelerators

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Declarative Parallel Programming for GPUs

A visibility-based approach for occupancy grid computation in disparity space

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Efficient Knowledge Extraction from Structured Data

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Accelerating Bit Error Rate Simulation in MATLAB with Graphics Processors

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

Most viewed papers (last 30 days)