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E-grāmata: High Performance Computing. ISC High Performance 2022 International Workshops: Hamburg, Germany, May 29 - June 2, 2022, Revised Selected Papers

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13387
  • Izdošanas datums: 03-Jan-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031232206
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High Performance Computing. ISC High Performance 2022 International Workshops: Hamburg, Germany, May 29 - June 2, 2022, Revised Selected PapersPalielināt
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13387
  • Izdošanas datums: 03-Jan-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031232206
Citas grāmatas par šo tēmu:

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This book constitutes the refereed conference proceedings of the workshops held at the 37th International ISC High Performance 2022 Conference, in Hamburg, Germany, in June 2, 2022.

The 27 full papers were included in this book were carefully reviewed and selected from 43 submissions. 

ISC High Performance 2022 presents the following workshops:

Compiler-assisted Correctness Checking and Performance Optimization for HPC

HPC on Heterogeneous Hardware (H3)

Malleability Techniques Applications in High Performance Computing

Fifth Workshop on Interactive High Performance Computing

3rd ISC HPC International Workshop on Monitoring & Operational Data Analytics

6th International Workshop on In Situ Visualization

17th Workshop on Virtualization in High Performance Cloud Computing

Chapter “Compiler-Assisted Instrumentation Selection for Large-Scale C++ Codes” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.




Compiler-assisted Correctness Checking and Performance Optimization for
HPC.- Compiler-assisted Instrumentation Selection for Large-scale C++
Codes.- Lightweight Array Contraction by Trace-Based Polyhedral
Analysis.- Detecting scale-induced overflow bugs in production HPC
codes.- HPC on Heterogeneous Hardware (H3).- AI Benchmarking for Science:
Efforts from the MLCommons Science Working Group.- Performance Analysis of
Matrix Multiplication for Deep Learning on the Edge.- Strategies for
efficient execution of Pipelined Conjugate Gradient method on GPU systems.- A
Multi-Level Platform-Independent GPU API for High-Level Programming
Models.- Precise Energy Consumption Measurements of Heterogeneous
Artificial Intelligence Workloads.- Malleability Techniques Applications in
High Performance Computing.- Detecting interference between applications and
improving the scheduling using malleable application proxies.- An Emulation
Layer for Dynamic Resources with MPI Sessions.- Exploiting OpenMP
malleability with free agent threads and DLB.- QR Factorization using
Malleable BLAS on Multicore Processors.- IMSS: In-Memory Storage System for
Data Intensive Applications.- On the Convergence of Malleability and the HPC
PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC
Systems.- Fifth Workshop on Interactive High Performance
Computing.- Interactive, Cloud-Native Workflows on HPC Using KNoC.- Workflows
to driving high-performance interactive supercomputing for urgent decision
making.- 3rd ISC HPC International Workshop on Monitoring & Operational Data
Analytics.- Data Center Facility Monitoring with Physics Aware
Approach.- Rule-based Thermal Anomaly Detection for Tier-0 HPC Systems.- 6th
International Workshop on In Situ Visualization.- InSitu Analysis and
Visualization of Extreme-Scale Particle Simulations.- Insite: A Pipeline
Enabling In-Transit Visualization and Analysis for Neuronal Network
Simulations.- The Need for Pervasive In Situ Analysis and Visualization
(P-ISAV).- Interactive Visualization of Large-Scale Oil and Gas
Reservoir Simulation Models.- Cinema Transfer: a Containerized Visualization
Workflow.- 17th Workshop on Virtualization in High Performance Cloud
Computing.- Virtual Clusters: Isolated, Containerized HPC Environments in
Kubernetes.- Analyzing Unikernel Support for HPC: Experimental Study of
OpenMP.- On the use of Linux Real-Time Features for RAN Packet Processing
in Cloud Environments.- eBPF-based Extensible Paravirtualization.
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