ImplicitGlobalGrid.jl Files

Distributed parallelization of stencil-based GPU and CPU applications

This is an exact mirror of the ImplicitGlobalGrid.jl project, hosted at https://github.com/eth-cscs/ImplicitGlobalGrid.jl. SourceForge is not affiliated with ImplicitGlobalGrid.jl.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
ImplicitGlobalGrid.jl 0.16.1 source code.tar.gz	2025-09-30	6.7 MB	0
ImplicitGlobalGrid.jl 0.16.1 source code.zip	2025-09-30	6.7 MB	0
README.md	2025-09-30	219 Bytes	0
Totals: 3 Items		13.4 MB	0

Release notes

Change deprecated MPI call (#103) (@aelligp)
AMDGPU Extension - Update write/read async device to host and viceversa (#105) (@Dvegrod)
Re-enable async copy for AMDGPU backend (#106) (@luraess)

Source: README.md, updated 2025-09-30

Other Useful Business Software

Earn up to 16% annual interest with Nexo.

Access competitive interest rates on your digital assets.

Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.

Get started with Nexo.

Auth0 B2B Essentials: SSO, MFA, and RBAC Built In

Unlimited organizations, 3 enterprise SSO connections, role-based access control, and pro MFA included. Dev and prod tenants out of the box.

Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Try Free

Recommended Projects

AMDGPU.jl
AMD GPU (ROCm) programming in Julia
101-0250-00
ETH course - Solving PDEs in parallel on GPUs
Numba CUDA Target
The CUDA target for Numba
multiDAC
multiDAC is intended to become a user-friendly tool for image- and videoprocessing in the field of deformation/movement analysis. It is written in C# with some C routines using CPU/GPU parallelization (e.g. CUDA) and features a plugin manager.
Darktile
Darktile is a GPU rendered terminal emulator

ImplicitGlobalGrid.jl Files

Distributed parallelization of stencil-based GPU and CPU applications

Get an email when there's a new version of ImplicitGlobalGrid.jl

Release notes