The MIT Office of Research Computing and Data (ORCD) supports core computing and data needs of the entire MIT research and education community. ORCD provides a base set of high performance research computing resources available at no charge to all MIT researchers, works with principal investigators to support specialized needs, and consults on ...

Get high-performance computing help during ORCD's office hours. The MIT Office of Research Computing and Data (ORCD) is a team of people and resources dedicated to supporting core computing and data needs of the entire MIT research and education community.

The HPRCF at the Bates Laboratory consists of 71 water-cooled racks, each of which can supply up to 12 kW of power and cooling, and a high-speed 10 Gb/s network link to campus. The construction, racks and network link represent an investment by MIT of about $7.0M.

Practical HPC: An introductory course that: Includes an introduction to HPC, canonical HPC Workflows, and the SuperCloud system. Walks you through setting up your account, installing software, running your first test job, submitting your first batch job. Describes how to scale up efficiently and measure your performance.

hpc是一个比较综合的方向，涉及算法、体系结构、编程语言、操作系统、计算机网络等，还涉及专业的学科知识譬如生物等，这也正是它的趣味性所在。

2024年9月25日 · The MIT SuperCloud and MIT Lincoln Laboratory Supercomputing Center (LLSC) present a special session at IEEE HPEC called Scaling Research Computing Education. This session is focused on scaling training and education for High Performance Computing (HPC) and research computing more generally across many dimensions, including number of users ...

Project Bayanihan at the MIT Laboratory for Computer Science aims to explore and develop the idea of volunteer computing, which enables people to join a large parallel computation by simply visiting a Web site with an appropriate browser.

2024年12月17日 · Attendees will learn not only the basics of high-performance computing (HPC) clusters and GPU accelerators but also programming skills with OpenMP, MPI, CUDA, Pytorch, and Deepspeed. Examples and hands-on exercises will be provided in several programming languages including C, Fortran, and Python.

In this paper we introduce the MIT Supercloud Dataset which aims to foster innovative AI/ML approaches to the analysis of large scale HPC and datacenter/cloud operations. We provide detailed monitoring logs from the MIT Supercloud system, which include CPU and GPU usage by jobs, memory usage, file system logs, and physical monitoring data.

With the explosion in artificial intelligence and machine learning, modeling, simulation, and data analytics, High Performance Computing (HPC) has grown to become an essential tool across academic disciplines. However, HPC expertise remains in short supply with a shortage of people who know how to make HPC systems work and how to use them.