high performance computing on graphics processing units: hgpu.org

Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip Harris

View

Download (PDF)

Source codes

Tags: Computer science, Deep learning, FPGA, Heterogeneous systems, HLS, Machine learning, Neural networks, Package

May 22, 2022 by hgpu

Improving Loop Parallelization by a Combination of Static and Dynamic Analyses in HLS

Florian Dewald, Johanna Rohde, Christian Hochberger, Heiko Mantel

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, HLS, Package

February 13, 2022 by hgpu

Studying the Potential of Automatic Optimizations in the Intel FPGA SDK for OpenCL

Adel Ejjeh, Vikram Adve, Rob Rutenbar

View

Download (PDF)

Tags: Computer science, Design space exploration, FPGA, HLS, OpenCL

January 16, 2022 by hgpu

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

Moteb Alghamdi, Graham Riley, Mike Ashworth

View

Download (PDF)

Tags: Computer science, FPGA, HLS, HPC, OpenCL

November 28, 2021 by hgpu

FLOWER: A Comprehensive Dataflow Compiler for High-Level Synthesis

Puya Amiri, Arsene Perard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack

View

Download (PDF)

Tags: Computer science, Computer vision, FPGA, HLS, Image processing, OpenCL

November 21, 2021 by hgpu

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

Redwood heterogeneous framework

Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads

Reinforcement Learning Strategies for Compiler Optimization in High level Synthesis

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis

mu-grind: A Framework for Dynamically Instrumenting HLS-Generated RTL

Design Space Exploration of Concurrency Mapping to FPGAs in Weather and Climate Applications with Xilinx SDSoC OpenCL, SDSoC C++ and Vivad

FPGA Accelerators on Heterogeneous Systems: An Approach Using High Level Synthesis

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

Improving Loop Parallelization by a Combination of Static and Dynamic Analyses in HLS

Studying the Potential of Automatic Optimizations in the Intel FPGA SDK for OpenCL

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

FLOWER: A Comprehensive Dataflow Compiler for High-Level Synthesis

Recent source codes

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

AutoDock for GPUs and other accelerators

spotPython: Sequential Parameter Optimization in Python

Test benchmarks for CELERITY

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Redwood heterogeneous framework

Most viewed papers (last 30 days)