Check out this collection of posters on how developers are accelerating their work with the power of GPUs.
Accelerating Layout Density Calculation in VLSI Design
Che-Rung Lee, Associate Professor, National Tsing Hua University
An Implementation of Unified Layer performing Convolution and Average Pooling on GPU
Akihiko Kasagi, researcher, Fujitsu laboratory ltd.
Harnessing GPU`s FP16 Arithmetic to Speedup Mixed-Precision Solvers and Achieve 74 Gflops/Watt on Nvidia V100
Azzam Haidar, Research Scientist, University of Tennessee
Tensor Contractions using Optimized Batch GEMM Routines
Ahmad Ahmad, Research Scientist, University of Tennessee
Parallel Quotient Filter Construction: A Study in Non-Associative Scans
Afton Geil, PhD Student, UC Davis
Kokkoskernels: Portable Math and Graph Kernels
Kyungjoo Kim, Research Scientist, Sandia National Laboratories
Relational Model Finding for Hardware-Aware Program Synthesis and Security Verification
Caroline Trippel, Ph.D. Candidiate, Princeton University
A High-performance Computing Platform for Real-time Radio Spectrum Analysis
Shihao Song, Student, Drexel University
Analyzing the Communication Characteristics of GPU Thread Blocks
Holger Froning, Associate Professor, Heidelberg University
Evaluation of a Non-Hydrostatic Ocean Model Implemented on Pascal GPUs with GPUDirect RDMA Transfer
Takateru Yamagishi, chief, Research Organization for Information Science and Technology
GPU Mekong: Simplified Multi-GPU Programming using Automated Partitioning
Alexander Matz, Research Associate, Heidelberg University
Optimising Scattered Memory Access of Uniform Spatial Partitioning
Robert Chisholm, PhD Student, University of Sheffield
The Kokkos Programming Model
Christian Trott, Principal Member of Staff, Sandia National Laboratories
Efficiently Enlarging GPU Memory Capacity with NVM
Pak Markthub, Student, Tokyo Institute of Technology
CS-DTW: Efficient DTW on Huge Data Size in Real-time using Compute Shaders
Brenan Balbido, Student Bs in Computer Science, California Polytechnic State University San Luis Obispo