{"id":2985,"date":"2026-07-14T17:39:40","date_gmt":"2026-07-14T15:39:40","guid":{"rendered":"https:\/\/uscc.inaf.it\/?post_type=evento&p=2985"},"modified":"2026-07-15T12:03:08","modified_gmt":"2026-07-15T10:03:08","slug":"corso-di-high-performance-e-parallel-computing-per-lastrofisica","status":"publish","type":"evento","link":"https:\/\/uscc.inaf.it\/en\/evento\/corso-di-high-performance-e-parallel-computing-per-lastrofisica\/","title":{"rendered":"High-Performance and Parallel Computing for Astrophysics Course"},"content":{"rendered":"

Sant\u2019Abbondio Cloister (Como) & CNR Territorial Research Area (Bologna)<\/p>\n\n\n\n

We are pleased to announce a three-module course on High-Performance and Parallel Computing for Astrophysics. This course provides comprehensive, hands-on expertise in high-performance computing and parallel programming, ranging from the inner workings of modern computing architectures to the development, optimization, debugging, and profiling of parallel code on multi-core, multi-node, and GPU-accelerated systems. <\/p>\n\n\n\n

MODULE A \u2014 Modern Architectures, Serial Code, and Shared Memory (40h)<\/h6>\n\n\n\n
Learning Objectives: <\/h6>\n\n\n\n

Understand how coding choices translate into performance on microarchitecture; learn how to transition a serial kernel to a vectorized and cache-friendly version; master single-node parallelization with OpenMP while correctly managing shared memory; and learn to identify correctness bugs and serial bottlenecks using standard tools.<\/p>\n\n\n\n

Course Syllabus:
<\/h6>\n\n\n\n
\n

<\/path><\/svg><\/span> Modern Architectures (CPUs)<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Serial Code Optimization<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Node Architecture and NUMA<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Multithreading with OpenMP<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Debugging & Profiling I (Serial)<\/em><\/p>\n<\/div>\n\n\n\n

MODULE B \u2014 Distributed Memory (MPI) and Computing Cluster Architectures (40h)<\/h6>\n\n\n\n
Learning Objectives:\u00a0<\/h6>\n\n\n\n

Understand the distributed memory model and learn to write correct, efficient intermediate-level MPI applications; master advanced MPI techniques for complex communication patterns and parallel I\/O; and perform debugging and profiling on multi-process parallel applications.<\/p>\n\n\n\n

Course Syllabus:<\/h6>\n\n\n\n
\n

<\/path><\/svg><\/span> Cluster Architectures<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> MPI \u2014 Basics<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> MPI \u2014 Intermediate<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> MPI \u2014 Advanced<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Debugging & Profiling II (Parallel)<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Containerization for HPC<\/em><\/em><\/p>\n<\/div>\n\n\n\n

MODULE C \u2014 GPUs, Algorithms, and Deployment (40h)<\/h6>\n\n\n\n
Learning Objectives: <\/h6>\n\n\n\n

Understand GPU architecture and learn to write and optimize basic kernels by leveraging the memory model; manage multi-GPU and multi-node scenarios using dedicated communication libraries; and profile production-scale applications and deploy them reproducibly.<\/p>\n\n\n\n

Course Syllabus:<\/h6>\n\n\n\n
\n

<\/path><\/svg><\/span> GPU I<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> GPU II (Advanced and Distributed)<\/em><\/p>\n\n\n\n

<\/path><\/svg><\/span> Large-Scale Profiling<\/em><\/p>\n\n\n\n

<\/p>\n<\/div>\n\n\n\n

Registration Fee is \u20ac100 per person for each module. The three modules are designed to be taken independently.<\/p>\n\n\n\n

The registration fee covers lunch and coffee breaks on all lecture days. Travel and accommodation expenses are not included and remain the sole responsibility of the participants.<\/p>\n\n\n\n

There are a total of 40 seats available, and admission is granted on a first-come, first-served basis. If registration exceeds capacity, priority will be given to PhD students and early-career researchers, while still respecting the chronological order of registration.<\/p>\n\n\n\n

\n
Visit the Indico event page<\/a><\/div>\n<\/div>","protected":false},"featured_media":2986,"menu_order":0,"template":"full-width-no-titlw","format":"standard","meta":{"_acf_changed":false},"categories":[9,10],"tags":[],"class_list":["post-2985","evento","type-evento","status-publish","format-standard","has-post-thumbnail","hentry","category-corsi","category-eventi"],"acf":[],"_links":{"self":[{"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/evento\/2985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/evento"}],"about":[{"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/types\/evento"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/media\/2986"}],"wp:attachment":[{"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/media?parent=2985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/categories?post=2985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uscc.inaf.it\/en\/wp-json\/wp\/v2\/tags?post=2985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}