nVidia | Page 756

hgpu.org » nVidia

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

Tony Cheneau, Aymen Boudguiga, Maryline Laurent

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8600 GTS, Security

January 5, 2011 by hgpu

A design case study: CPU vs. GPGPU vs. FPGA

Daniel L. Rosenband, Till Rosenband

Tags: Computer science, CUDA, FPGA, nVidia

January 5, 2011 by hgpu

Revisiting sorting for GPGPU stream architectures

Duane G. Merrill, Andrew S. Grimshaw

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia Quadro FX 5600, Sorting

January 5, 2011 by hgpu

A complete modular resultant algorithm targeted for realization on graphics hardware

Pavel Emeliyanenko

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Modular Resultant Algorithm for Graphics Processors

Pavel Emeliyanenko

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 2011 by hgpu

Practical Random Linear Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao and Mea Wang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Programming techniques

January 4, 2011 by hgpu

A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs

Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada

View

Download (PDF)

Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Sequence alignment, Smith-Waterman algorithm

January 4, 2011 by hgpu

Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages

Koichi Ogawara

View

Download (PDF)

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Pattern recognition

January 4, 2011 by hgpu

Speeding up subset seed algorithm for intensive protein sequence comparison

Van Hoa Nguyen, Dominique Lavenier

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Sequence alignment

January 4, 2011 by hgpu

Fast GPU-based space-time correlation for activity recognition in video sequences

Mahsan Rofouei, Maryam Moazeni, Majid Sarrafzadeh

View

Download (PDF)

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia Quadro FX 5600

January 4, 2011 by hgpu

GPU-Assisted Z-Field Simplification

Alexander Bogomjakov, Craig Gotsman

View

Download (PDF)

Tags: Cg, Image processing, nVidia, nVidia GeForce FX 5900, OpenGL, Triangular meshes

January 4, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

A design case study: CPU vs. GPGPU vs. FPGA

Revisiting sorting for GPGPU stream architectures

A complete modular resultant algorithm targeted for realization on graphics hardware

Modular Resultant Algorithm for Graphics Processors

Nuclei: GPU-Accelerated Many-Core Network Coding

Practical Random Linear Network Coding on GPUs

A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs

Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages

Speeding up subset seed algorithm for intensive protein sequence comparison

Fast GPU-based space-time correlation for activity recognition in video sequences

GPU-Assisted Z-Field Simplification

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)