Systems – Chundoong
Datasets – UDC-SIT
Software (GitHub) – SnuQS / SnuRHAC / SOFF / HUM / SNU NPB 2019 Suite / SnuCL / SNU-SAMSUNG OpenCL framework / SFMalloc / FaCSim / COMIC
SnuRHAC A Runtime for Heterogeneous Accelerator Clusters with CUDA Unified Memory
Overview
SnuRHAC is an open-source framework that provides an illusion of a single GPU for multiple GPUs in a cluster. SnuRHAC automatically distributes workload and manages data across the nodes. It exploits several optimization techniques such as prefetching to maximize the performance. SnuRHAC aims to achieve both ease-of-programming and performance for GPU programming.
SnuRHAC consists of three components: a memory access pattern analyzer (MAPA), a linux kernel module (SnuRHAC-Driver), and a runtime system (SnuRHAC-Runtime).
Publications
Please use the citation below to reference SnuRHAC.
- [HPDC] Jaehoon Jung, Daeyoung Park, Gangwon Jo, Jungho Park, and Jaejin Lee. SnuRHAC: A Runtime for Heterogeneous Accelerator Clusters with CUDA Unified Memory, HPDC ’21: Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 2021.
Download
SnuRHAC can be downloaded from GitHub.
Manual
If you would like to download the SnuRHAC user manual, please fill out the following form and click the download button. An email containing the download URL will be sent to the email address.
Contributors
- Current: Jaehoon Jung, Daeyoung Park, and Jaejin Lee
Contact and Bug Report
E-mail: snurhac@aces.snu.ac.kr
License
Copyright (c) 2021 Seoul National University.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of Seoul National University nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY SEOUL NATIONAL UNIVERSITY "AS IS" AND ANY
EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL SEOUL NATIONAL UNIVERSITY BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Contact information:
THUNDER Research Group
Department of Computer Science and Engineering
Seoul National University, Seoul 08826, Korea
https://thunder.snu.ac.kr
Contributors:
Jaehoon Jung, Daeyoung Park, Gangwon Jo, Jungho Park, and Jaejin Lee