{"id":351,"date":"2022-10-03T23:18:29","date_gmt":"2022-10-03T21:18:29","guid":{"rendered":"https:\/\/project.inria.fr\/sbac2022\/?page_id=351"},"modified":"2022-11-04T08:34:59","modified_gmt":"2022-11-04T07:34:59","slug":"technical-sessions","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/sbac2022\/conference\/technical-sessions\/","title":{"rendered":"Technical sessions"},"content":{"rendered":"<h3><a id=\"s1\"><\/a>Session 1 &#8211; Best Paper Candidates<\/h3>\n<p><strong>Wednesday, Nov. 2nd &#8212; 14h30 &#8211; 16h00<br \/>\nChair:<\/strong> Viktor Prasana (USC, USA)<\/p>\n<ul>\n<li>Pangbo Sun, Hao Wu, Jiangming Jin, Ziyue Jiang, and Yifan Gong<br \/>\n<em>TCUDA: A QoS-based GPU Sharing Framework for Autonomous Navigation Systems<\/em><\/li>\n<li>Hammurabi Mendes, Bryce Wiedenbeck and Aidan O&#8217;Neill<br \/>\n<em>Seriema: RDMA-based Remote Invocation with a Case\u00ad-Study on Monte\u00ad-Carlo Tree Search<\/em><\/li>\n<li>Elvis Rojas, Diego P\u00e9rez and Esteban Meneses<br \/>\n<em>Exploring the Effects of Silent Data Corruption in Distributed Deep Learning Training<\/em><\/li>\n<li>Erhan Tezcan, Tugba Torun, Fahrican Ko\u015far, Kamer Kaya, and Didem Unat<br \/>\n<em>Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection<\/em><\/li>\n<\/ul>\n<h3><a id=\"s2\"><\/a>Session 2 &#8211; Memory Systems<\/h3>\n<p><strong>Wednesday, Nov. 2nd &#8212; 16h30 &#8211; 18h30<br \/>\nChair:<\/strong> <span id=\"gmail-docs-internal-guid-cf867146-7fff-a15a-462d-d28059f4c453\">Jos\u00e9 Nelson Amaral (University of Alberta, Canada)<\/span><\/p>\n<ul>\n<li>Jo\u00e3o Vieira, Nuno Roma, Gabriel Falcao and Pedro Tom\u00e1s<br \/>\n<em>gem5-ndp: Near-Data Processing Architecture Simulation From Low Level Caches to DRAM<\/em><\/li>\n<li>Jo\u00e3o Fabr\u00edcio Filho, Isa\u00edas Felzmann, and Lucas Wanner<br \/>\n<em>Approximate Memory with Protected Static Allocation<\/em><\/li>\n<li>Brady Testa, Samira Mirbagher-Ajorpaz, and Daniel A. Jim\u00e9nez<br \/>\n<em>Dynamic Set Stealing to Improve Cache Performance<\/em><\/li>\n<li>Arthur M. Krause, Paulo C. Santos, and Philippe O. A. Navaux<br \/>\n<em>Avoiding Unnecessary Caching with History-Based Preemptive Bypassing<\/em><\/li>\n<li>Alex Weaver, Krishna Kavi, Pranathi Vasireddy and Gayatri Mehta<br \/>\n<em>Memory-Side Acceleration and Sparse Compression for Quantized Packed Convolutions<\/em><\/li>\n<li>Sandra Catal\u00e1n, Francisco D. Igual, Rafael Rodr\u00edguez-Sanchez, Jos\u00e9 R. Herrero, and Enrique S. Quintana-Ort\u00ed<br \/>\n<em>NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors<\/em><\/li>\n<\/ul>\n<h3><a id=\"s3\"><\/a>Session 3 &#8211; Parallel Algorithms and Applications<\/h3>\n<p><strong>Thursday, November 3rd &#8212; 08h30 &#8211; 10h30<br \/>\nChair:<\/strong> Hermes Senger (UfSCar, Brazil)<\/p>\n<ul>\n<li>Alexander van der Grinten, Geert Custers, Duy Le Thanh and Henning Meyerhenke<br \/>\n<em>An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality<\/em><\/li>\n<li>Samuel Ferraz, Vinicius Dias, Carlos H. C. Teixeira, George Teodoro and Wagner Meira Jr.<br \/>\n<em>Efficient Strategies for Graph Pattern Mining Algorithms on GPUs<\/em><\/li>\n<li>Daniel Wladdimiro, Luciana Arantes, Pierre Sens and Nicolas Hidalgo<br \/>\n<em>A predictive approach for dynamic replication of operators in distributed stream processing systems<\/em><\/li>\n<li>James Almgren-Bell, Nader Al Awar, Dilip S. Geethakrishnan, Milos Grigoric, and George Biros<br \/>\n<em>A Multi-GPU Python Solver for Low-Temperature Non-Equilibrium Plasmas<\/em><\/li>\n<li>Samuel Cajahuaringa, Leandro N. Zanotto, Daniel L. Z. Caetano, Sandro Rigo, Herv\u00e9 Yviquel, Munir S. Skaf and Guido Araujo<br \/>\n<em>Ion-Molecule Collision Cross-Section Simulation using Linked-cell and Trajectory Parallelization<\/em><\/li>\n<li>Javier Garcia-Blas, Javier Fernandez Mu\u00f1oz, Jesus Carretero, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Alberto Fernandez-Pena, and Daniel Martin de Blas<br \/>\n<em>Convergence of HPC and Big Data in extreme-scale data analysis through the DCEx programming model<\/em><\/li>\n<\/ul>\n<h3><a id=\"s4\"><\/a>Session 4 &#8211; Computer Architecture<\/h3>\n<p><strong>Thursday, November 3rd &#8212; 13h30 &#8211; 14h30<br \/>\nChair:<\/strong> Edson Borin (UNICAMP, Brazil)<\/p>\n<ul>\n<li>Manuel F. Dolz, H\u00e9ctor Mart\u00ednez, Pedro Alonso-Jorda and Enrique S. Quintana-Orti<br \/>\n<em>Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor<\/em><\/li>\n<li>Guillaume Didier, Cl\u00e9mentine Maurice, Antoine Geimer and Walid J. Ghandour<br \/>\n<em>Characterizing Prefetchers using CacheObserver<\/em><\/li>\n<li>Fareed Qararyah, Muhammad Waqar Azhar and Pedro Trancoso<br \/>\n<em>FiBHA: Fixed Budget Hybrid CNN Accelerator<\/em><\/li>\n<\/ul>\n<h3><a id=\"s5\"><\/a>Session 5 &#8211; Energy Consumption<\/h3>\n<p><strong>Friday, November 4th &#8212; 08h30 &#8211; 09h30<br \/>\nChair:<\/strong> Gerald F. Lofstead (Sandia National Laboratories)<\/p>\n<ul>\n<li>Thierry Arrabal, Lucas Betencourt, Eddy Caron and Laurent Lefevre<br \/>\n<em>Setting up an experimental framework for immersion cooling system and analysis<\/em><\/li>\n<li>Jonathas Silveira, Lucas Castro, Victor Ara\u00fajo, Rodrigo Zeli, Daniel Lazari, Marcelo Guedes, Rodolfo Azevedo and Lucas Wanner<br \/>\n<em>Prof5: A RISC-V profiler tool<\/em><\/li>\n<li>Emmanuel Agullo, Marek Fel\u0161\u00f6ci, Amina Guermouche, Herv\u00e9 Mathieu, Guillaume Sylvand and Bastien Tagliaro<br \/>\n<em>Study of the processor and memory power consumption of coupled sparse\/dense solvers<\/em><\/li>\n<\/ul>\n<h3><a id=\"s6\"><\/a>Session 6 &#8211; Performance Evaluation<\/h3>\n<p><strong>Friday, November 4th &#8212; 09h30 &#8211; 10h30<br \/>\nChair:<\/strong> Gerald F. Lofstead (Sandia National Laboratories)<\/p>\n<ul>\n<li>Aravind Sankaran and Paolo Bientinesi<br \/>\n<em>A Test for FLOPs as a Discriminant for Linear Algebra Algorithms<\/em><\/li>\n<li>Miguel G. Xavier, Carlos H. C.Cano, Vin\u00edcius Meyer, and C\u00e9sar A. F. De Rose<br \/>\n<em>IntP: Quantifying cross-application interference via system-level instrumentation<\/em><\/li>\n<li>Alexander V. Goponenko, Kenneth Lamar, Christina Peterson, Benjamin A. Allan, Jim M. Brandt and Damian Dechev<br \/>\n<em>Metrics for Packing Efficiency and Fairness of HPC Cluster Batch Job Scheduling<\/em><\/li>\n<\/ul>\n<h3><a id=\"s7\"><\/a>Session 7 &#8211; Cloud Computing<\/h3>\n<p><strong>Friday, November 4th &#8212; 13h30 &#8211; 14h30<br \/>\nChair:<\/strong> Cristina Boeres (UFF, Brazil)<\/p>\n<ul>\n<li>Rafaela C. Brum, Pierre Sens, Luciana Arantes, Maria Clicia Castro, and L\u00facia Maria de A. Drummond<br \/>\n<em>Optimizing Execution Time and Costs of Cross-Silo Federated Learning Applications with Datasets on different Cloud Providers<\/em><\/li>\n<li>Vanderlei Munhoz, M\u00e1rcio Castro and Odorico Mendizabal<br \/>\n<em>Strategies for Fault-Tolerant Tightly-coupled HPC Workloads Running on Low-Budget Spot Cloud Infrastructures<\/em><\/li>\n<li>Maxim Moraru, Adrien Roussel, Hugo Taboada, Christophe Jaillet, Marc Perache and Michael Krajecki<br \/>\n<em>Performance improvements of parallel applications thanks to MPI-4.0 hints<\/em><\/li>\n<\/ul>\n<h3><a id=\"s8\"><\/a>Session 8 &#8211; Parallel I\/O and Big Data<\/h3>\n<p><strong>Friday, November 4th &#8212; 14h30 &#8211; 15h30<br \/>\nChair:<\/strong> Shadi Ibrahim (Inria Rennes, France)<\/p>\n<ul>\n<li>Yang Chen, Feng Zhang, Yinhao Hong, Yunpeng Chai, Wei Lu, Hong Chen, Xiaoyong Du, Peipei Wang, Le Mi, Jintao Li, Xilin Tang, Yanliang Zhou, Wei Zhou, Peng Zhang, Fengyi Chen, Pengfei Li, Yu Li<br \/>\n<em>Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases<\/em><\/li>\n<li>Matheus Tavares Bernardino and Alfredo Goldman<br \/>\n<em>Parallelizing Git Checkout: a Case Study of I\/O Parallelism<\/em><\/li>\n<li>Igor Fontana de Nardin, Patricia Stolf and Stephane Caux<br \/>\n<em>Analyzing Power Decisions in Data Center Powered by Renewable Sources<\/em><\/li>\n<\/ul>\n<h3><a id=\"s9\"><\/a>Session 9 &#8211; Scheduling<\/h3>\n<p><strong>Friday, November 4th &#8212; 16h00 &#8211; 17h00<br \/>\nChair:<\/strong> Mathieu Faverge (Inria Bordeaux, France)<\/p>\n<ul>\n<li>Omar Shaaban, Jimmy Aguilar, Vicen\u00e7 Beltran, Paul Carpenter, Eduard Ayguad\u00e9 and Jesus Labarta Mancho<br \/>\n<em>Automatic aggregation of subtask accesses for nested OpenMP-style tasks<\/em><\/li>\n<li>Jing Chen, Madhavan Manivannan, Bhavishya Goel, Mustafa Abduljabbar and Miquel Peric\u00e0s<br \/>\n<em>STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures<\/em><\/li>\n<li>Odin Ugedal and Rakesh Kumar<br \/>\n<em>Mitigating Unnecessary Throttling in Linux CFS Bandwidth Control<\/em><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Session 1 &#8211; Best Paper Candidates Wednesday, Nov. 2nd &#8212; 14h30 &#8211; 16h00 Chair: Viktor Prasana (USC, USA) Pangbo Sun, Hao Wu, Jiangming Jin, Ziyue Jiang, and Yifan Gong TCUDA: A QoS-based GPU Sharing Framework for Autonomous Navigation Systems Hammurabi Mendes, Bryce Wiedenbeck and Aidan O&#8217;Neill Seriema: RDMA-based Remote Invocation\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/sbac2022\/conference\/technical-sessions\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2137,"featured_media":0,"parent":96,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mc_calendar":[],"footnotes":""},"class_list":["post-351","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/pages\/351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/users\/2137"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/comments?post=351"}],"version-history":[{"count":10,"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/pages\/351\/revisions"}],"predecessor-version":[{"id":387,"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/pages\/351\/revisions\/387"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/pages\/96"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/sbac2022\/wp-json\/wp\/v2\/media?parent=351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}