The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. Every paper accepted for HPDC 2022 will be published in the proceedings. We will also guarantee valuable interaction on the papers to be presented. General Chairs: Jon Weissman University of Minnesota, MN, USA Abhishek Chandra University of Minnesota, MN, USA Program Chairs: Ada Gavrilovska Georgia Institute of Technology, GA, USA Devesh Tiwari Northeastern University, MA, USA Publications Chair: Antonino Tumeo PNNL, WA, USA Workshops Chair: Ivy Peng Lawrence Livermore National Laboratory, CA, USA Poster and Travel Grant Chair: Dong Li University of California, Merced, USA Publicity Co-Chairs: Kento Sato RIKEN Center for Computational Science (RIKEN R-CCS), Japan Ali Anwar IBM Research, Almaden Research Center, CA, USA Social Media Chair: Thaleia Dimitra Doudali IMDEA Software Institute, Madrid, Spain Web Master: Nikhil Sreekumar University of Minnesota, MN, USA Scope and Topics Submissions are welcomed on high-performance parallel and distributed computing (HPDC) topics including but not limited to: clouds, clusters, grids, big data, massively multicore, and extreme-scale computing systems. Experience reports of operational deployments that provide significantly novel insights for future research on HPDC applications and systems are also welcome. In the context of high-performance parallel and distributed computing, the topics of interest include, but are not limited to: Datacenter, HPC, cloud, serverless, and edge/IoT computing platforms Heterogeneous computing accelerators and non-volatile memory systems File and storage systems, I/O, and data management Operating systems and networks System software and middleware for parallel and distributed systems Programming languages and runtime systems Big data stacks and big data ecosystems Scientific applications, algorithms, and workflows Resource management and scheduling Performance modeling, benchmarking, and engineering Fault tolerance, reliability, and availability Operational guarantees, risk assessment, and management Novel post-Moore computing technologies including neuromorphic, brain-inspired computing, and quantum computing.