high performance computing on graphics processing units: hgpu.org

hgpu.org » Signal processing

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Fan Zhang, Zheng Li, Bingnan Wang, Maosheng Xiang, Wen Hong

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce 9500 GT, Physics, Signal processing

March 12, 2012 by hgpu

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Stefan Lindholm, Joel Kronander

View

Download (PDF)

Tags: CUDA, Image generation, Image processing, Medicine, nVidia, nVidia GeForce GTX 560 Ti, Signal processing

January 26, 2012 by hgpu

Real-Time Ultrasound Biomicroscopy with Optoacoustic Arrays

Ya Shu

View

Download (PDF)

Tags: CUDA, Data acquisition, Microscopy, nVidia, nVidia Quadro FX 2000, Signal processing, Thesis, Ultrasound

January 24, 2012 by hgpu

CUDA Based Polyphase Filter

Mark McCurry

View

Download (PDF)

Source codes

Tags: CUDA, DSP, nVidia, Package, Signal processing, Tesla C2050

January 23, 2012 by hgpu

GPU Prefilter for Accurate Cubic B-spline Interpolation

Daniel Ruijters, Philippe Thevenaz

View

Download (PDF)

Tags: Algorithms, CUDA, nVidia, nVidia GeForce 9800 GTX, Signal processing

January 17, 2012 by hgpu

Graphics Processor Clusters for High Speed Backpropagation

Daniel P. Campbell, Daniel A. Cook

View

Download (PDF)

Tags: CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing, Tesla C2050

January 14, 2012 by hgpu

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

Sylvain Huet, Vincent Boulos, Vincent Fristot, Luc Salvo

View

Download (PDF)

Tags: Algorithms, CUDA, DSP, GPU cluster, nVidia, nVidia GeForce GTX 285, Signal processing

January 13, 2012 by hgpu

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Jiwon Seo, Yu-Hsuan Chen, David S. De Lorenzo, Sherman Lo, Per Enge, Dennis Akos, Jiyun Lee

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing

January 13, 2012 by hgpu

Turbo Bayesian Compressed Sensing

Depeng Yang

View

Download (PDF)

Tags: Algorithms, Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Sensing, Signal processing

December 25, 2011 by hgpu

Quasi-maximum Accuracy Floating-point Computations with GPGPU for Applications in Digital Signal Processing

Adam Dabrowski, Pawel Pawlowski, Mateusz Stankiewicz, Filip Misiorek

View

Download (PDF)

Tags: CUDA, nVidia, nVidia Quadro FX 580, Precision, Signal processing

December 24, 2011 by hgpu

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Michael J. Anderson, David Sheffield, Kurt Keutzer

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia Quadro FX 6000, Package, Signal processing

December 16, 2011 by hgpu

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Jorge Lorente, Gema Pinero, Antonio M. Vidal, Jose Antonio Belloch, Alberto Gonzalez

View

Download (PDF)

Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

December 13, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Real-Time Ultrasound Biomicroscopy with Optoacoustic Arrays

CUDA Based Polyphase Filter

GPU Prefilter for Accurate Cubic B-spline Interpolation

Graphics Processor Clusters for High Speed Backpropagation

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Turbo Bayesian Compressed Sensing

Quasi-maximum Accuracy Floating-point Computations with GPGPU for Applications in Digital Signal Processing

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)