Introducing ToPe‐FFT: An OpenCL‐based FFT library targeting GPUs - Jan - 2017 - Concurrency and Computation: Practice and Experience - Wiley Online Library
Signal Processing on a Graphics Card An Analysis of Performance and Accuracy | Semantic Scholar
GPU Benchmarking
FFTW Benchmark Power of Two. Comparison of FFTW versus other FFT... | Download Scientific Diagram
Porting of electrostatics to the GPU version of DL_MESO_DPD – E-CAM
Benchmark All The Things: SPECwpc Releases SPECworkstation 3 – Techgage
GitHub - gpu-fftw/gpu_fftw: Run FFTW3 programs with Raspberry Pi GPU - fast ffts!
NVIDIA Announces CUDA 6: Unified Memory for CUDA
Out-of-core GPU 2D-shift-FFT algorithm for ultra-high-resolution hologram generation
Performance comparison with existing 2D-FFT libraries | Download Scientific Diagram
Introducing ToPe‐FFT: An OpenCL‐based FFT library targeting GPUs - Jan - 2017 - Concurrency and Computation: Practice and Experience - Wiley Online Library
cuFFT | NVIDIA Developer
6 shows the scalability of 3D FFTs from FFTW on a small cluster using... | Download Scientific Diagram
GTC 2013: Pedraforca Is A Power Efficient ARM + GPU Cluster For Homogeneous (GPU) Workloads - PC Perspective
NVIDIA Jetson TX2 Linux Benchmarks Review - Phoronix
![PDF] A GPU Based Memory Optimized Parallel Method For FFT Implementation | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/4b1ed899f39e906f28a3a634a87d16033fab54d2/11-Table1-1.png "PDF] A GPU Based Memory Optimized Parallel Method For FFT Implementation | Semantic Scholar")
PDF] A GPU Based Memory Optimized Parallel Method For FFT Implementation | Semantic Scholar
GPU Benchmarking
CUDA Specialized Libraries and Tools CIS 665 GPU
Using Vector Capabilities of GPUs to Accelerate FFT - ppt download
Nvidia CUDA 6 offers a unified memory programming system - Graphics - News - HEXUS.net
Parallel FFT performance - Number Crunch
Computation | Free Full-Text | Performance Enhancement of APW+lo Calculations by Simplest Separation of Concerns
System Details - NERSC Documentation
cuFFT | NVIDIA Developer
Diane Marinkas CDA 6938 April 30, Outline Motivation Algorithm CPU Implementation GPU Implementation Performance Lessons Learned Future Work. - ppt download
Benchmarks: SPIRAL Generated Programs for Transforms
