CUDACasts Episode #8: Accelerate FFTW Apps with CUFFT 5.5 | NVIDIA Technical Blog
System Details - NERSC Documentation
6 shows the scalability of 3D FFTs from FFTW on a small cluster using... | Download Scientific Diagram
GPU Benchmarking
Left: Accumulation of the backward error vs. the number of split-steps... | Download Scientific Diagram
Benchmark All The Things: SPECwpc Releases SPECworkstation 3 – Techgage
GPU Benchmarking
Performance comparison with existing 2D-FFT libraries | Download Scientific Diagram
Signal Processing on a Graphics Card An Analysis of Performance and Accuracy | Semantic Scholar
FFTW, MKL, CUFFT and USE_GPU - Engineering - ITK
OFC/NFOEC: GPU-based Parallelization of System Modeling
Introducing ToPe‐FFT: An OpenCL‐based FFT library targeting GPUs - Jan - 2017 - Concurrency and Computation: Practice and Experience - Wiley Online Library
A multi-GPU implementation of a full-field crystal plasticity solver for efficient modeling of high-resolution microstructures - ScienceDirect
CUDA Specialized Libraries and Tools CIS 665 GPU
Nvidia CUDA 6 offers a unified memory programming system - Graphics - News - HEXUS.net
python - Solving 1D heat equation on GPU in Numba - Stack Overflow
Using Vector Capabilities of GPUs to Accelerate FFT - ppt download
Which is the fastest library for finding FFT on a GPU? - Quora
NVIDIA Announces CUDA 6: Unified Memory for CUDA
Diane Marinkas CDA 6938 April 30, Outline Motivation Algorithm CPU Implementation GPU Implementation Performance Lessons Learned Future Work. - ppt download
GitHub - hurdad/fftw-cufftw-benchmark: Benchmark for popular fft libaries - fftw | cufftw | cufft
Atmosphere | Free Full-Text | GPU Parallelization of a Hybrid Pseudospectral Geophysical Turbulence Framework Using CUDA | HTML
GitHub - gpu-fftw/gpu_fftw: Run FFTW3 programs with Raspberry Pi GPU - fast ffts!
