SC24超算大会学习资料分享
就在前几天分享了SNIA SDC会议资料之后，有位专家朋友留言给我：“SC24 的材料能搞一下吗？”
SuperComputing是全球HPC（高性能计算）领域权威的年度大会，其学术价值应该很不错的。所以我就尝试了一下，像Workshop等环节只有视频，我就没搬。而SC24_Tutorial_Notes.zip这可下载的400MB+演讲稿等资料也不错。
说老实话，SC大会资料里我不熟悉的也有不少。可能更适合有些学术圈、产业界的朋友们，比如唐杰总、Winnie Shao博士等。如果对您有帮助，就且看且珍惜吧：）
SC24超算大会Tutorial资料网盘分享
链接: https://pan.baidu.com/s/1ve7_B8-IvXR3zX0uFmpMNA?pwd=2a49
提取码: 2a49
大家也可以在关注本微信公众号之后，从后台对话框发消息SC24 来获取以上分享链接。
完整议程参见会议官网 https://sc24.conference-program.com/
以下目录为我共享的Tutorial部分主题
Accelerated Quantum Supercomputing A Step-by-Step Guide to Expanding Simulation Capabilities and Enabling Interoperability of Quantum Hardware
Advanced MPI Programming（含example代码）
AI and Scientific Research Computing with Kubernetes
Compression for Scientific Data
Connecting the HPC and the Quantum Community A Tutorial on High-Performance Software for Quantum Computing
Core-Level Performance Engineering
Deep Learning at Scale
《Scaling Deep Learning on AMD GPUs》这个演讲的分享人来自橡树岭国家实验室 & 米国能源部。
图片点开后可放大查看
Frontier超算节点——由1颗64核EPYC CPU，加上4个MI250X组成的硬件拓扑。每块MI250X是由双GPU组成，所以这每对GPU之间的Infinity Fabric带宽是最大的。
Scale-out网络部分，对比当年的系统还是EDR InfiniBand（单口100Gb/s）与 Slingshot-11（来自HPE/Cray的技术），带宽都是25GB/s。
Delivering HPC Procurement, Cost Models, Metrics, Value and More
Distributed Deep Learning on GPU-Based Clusters
Efficient Distributed GPU Programming for Exascale
Hands-On HPC and AI Application Development Using C++ and SYCL
High-Performance and Smart Networking Technologies for HPC and AI
High-Performance Object Storage IO for the Exascale Era
Introduction to Quantum Computing
Leveraging SmartNICs for HPC Applications
Magic Castle Terraforming the Cloud to Teach HPC
Managing HPC Software Complexity with Spack
Optimising Workflow Lifecycle Management Development, HPC-Ready Containers Deployment and Provenance
Parallel Computing 101
Parallel IO in Practice
这个298页的ppt来自阿拉贡国家实验室，比较适合做存储的朋友。以下是部分章节/目录要点：
文件系统代表
Performance Engineering for Linear Solvers
Portable GPU Acceleration of HPC Applications with Standard C++23
Principles and Practice of High Performance DeepMachine Learning Training and Inference
Programming Novel AI Accelerators for Scientific Computing
另外几家AI加速芯片的分享，其中Cerebras、Graphcore等的ppt里面内容都挺丰富的。
Programming Your GPU with OpenMP A Hands-On Introduction
PyOMP Parallel Programming in Python with OpenMP
Quantum Machine Learning SC 2024
Scalable Big Data Processing on High-Performance Computing Systems
SciStream Enabling Data Streaming Between Science Instruments and HPC Nodes
Secure Coding Practices & Dependency Analysis Tools
Supercomputing 101
The Chameleon Testbed Tutorial
The Julia Language for Productive High-Performance Computing
The Legion Programming Model
Tools to Diagnose and Repair Floating-Point Errors in Heterogeneous Computing Hardware and Software
Using Containers to Accelerate HPC
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注：本文只代表作者个人观点，与任何组织机构无关，如有错误和不足之处欢迎在留言中批评指正。进一步交流，可以加我的微信：490834312。如果您想在这个公众号上分享自己的技术干货，也欢迎联系我：）
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