amamory-ampere Goto Github PK

heterogeneous-slambench

Optimization of the SLAMBench workload targetting a CPU-GPU-FPGA system (using OpenCL). Mainly focused in Altera FPGA devices.

hiflipvx

hipert.hg

hls-tiny-tutorials

hpec-sources

HPeC project's sources using ROS

json2cpp

Compiles JSON into static constexpr C++ data structures with nlohmann::json API

kernels

This is a set of simple programs that can be used to explore the features of a parallel platform.

libomptarget

lkmpg

The Linux Kernel Module Programming Guide (updated for 5.x kernels)

llvm-offload-jetson

machsuite

Benchmarks for Accelerator Design and Customized Architectures

memguard

Memory Bandwidth Reservation System for Efficient Performance Isolation in Multi-core Processors

meta-custom

Example Yocto software layer

meta-elisa

meta-raspberrypi-rt-sv

Yocto layer with real-time kernels (PREEMPT-RT and I-pipe/Xenomai) for Raspberry Pi.

metasim

A new version of the metasim library slightly redesigned

mini-era

Mini-ERA is a simplified still-representative version of the main ERA workload.

mobstr-dataset

The MobSTr dataset provides artifacts that demonstrate Model-based Safety Assurance and Traceability for a safety-critical automotive system.

nsight-training

Training material for Nsight developer tools

omp-offloading

ompcloud

OmpCloud - Cloud offloading made easy !

ompss-2-releases

This meta-repository contains the OmpSs-2 releases.

ompss-releases

This meta-repository contains the official OmpSs releases

onetbb

oneAPI Threading Building Blocks (oneTBB)

openmp-offloading

repository to test the OpenMP offloading capabilities to an NVIDIA GPU

parboil_benchmark

petalinux-systemc-docker

Dockerfile to build docker images with PetaLinux (tested on versions 2018.3 and 2020.2) and QEMU/SystemC-TLM co-simulation.

pilotnet

A Deep Learning Beginner: Nvidia's End to End Learning on Steering for Self-Driving Cars

plotly-graph

Create interactive network graph visualizations.

pocket-cnn

CNN-to-FPGA-framework for small CNN, written in VHDL and Python