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IPDPS 2024: San Francisco, CA, USA - Workshops
- IEEE International Parallel and Distributed Processing Symposium, IPDPS 2024 - Workshop, San Francisco, CA, USA, May 27-31, 2024. IEEE 2024, ISBN 979-8-3503-6460-6
- Gagan Agrawal, Alba Cristina Melo:
Message from the 2024 General Co-chairs. xxviii-xxix - Ananth Kalyanaraman, Suren Byna
:
Message from the 2024 Workshops Chair and Vice-chair. xxx-xxxi - Xianwei Cheng, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo:
HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration. 1 - Dhabaleswar K. Panda, Hari Subramoni:
Message from the HCW 2024 Technical Program Committee Co-Chairs. 1 - Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, Sanjif Shanmugavelu, Darshan Gandhi
Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. 1-10 - Anne C. Elster, Jan Christian Meyer:
HCW 2024 Preface and Committee List. 1 - Yuxi Tan, Riadh Ben Abdelhamid, Bingjie Guo, Qixiang Gao, Masaru Nishimura, Yoshiki Yamaguchi:
Scalable dual-instruction multiple-data processing on an efficient systolic-array architecture. 1 - Behrooz A. Shirazi, Kamesh Madduri:
Message from the HCW 2024 Steering Committee Co-Chairs. 2 - Anne C. Elster, Jan Christian Meyer:
Message from the HCW 2024 General Co-Chairs. 3 - Dhabaleswar K. Panda, Hari Subramoni:
Message from the HCW 2024 Technical Program Committee Co-Chairs. 4 - Yale N. Patt:
HCW 2024 Keynote: Hetero: Where we've been, Where we are, and What Next? 5 - Yale N. Patt:
Hetero: Where we've been, Where we are, and What Next? 5 - Josh Milthorpe
Performance Portability of the Chapel Language on Heterogeneous Architectures. 6-13 - Miroslav Demek, Jiri Filipovic:
Towards Dynamic Autotuning of SpMV in CUSP Library. 14-22 - Hasan Umut Suluhan
A Runtime Manager Integrated Emulation Environment for Heterogeneous SoC Design with RISC-V Cores. 23-30 - Hayfa Tayeb, Bérenger Bramas, Mathieu Faverge, Abdou Guermouche:
Dynamic Tasks Scheduling with Multiple Priorities on Heterogeneous Computing Systems. 31-40 - Niccolo Nicolosi
PSyGS Gen A Generator of Domain-Specific Architectures to Accelerate Sparse Linear System Resolution. 41-47 - Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter:
IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. 58-67 - Mingxuan He, Fangping Liu, Sang Wook Stephen Do:
Heterogeneous Hyperthreading. 68-78 - Jürgen Becker, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan:
31st Reconfigurable Architectures Workshop (RAW 2024). 79 - Marco Domenico Santambrogio:
RAW 2024 Committees. 80-81 - Deming Chen:
RAW 2024 Monday Keynote. 82 - Wayne Luk:
RAW 2024 Invited Talk-1: Auto-Generating Diverse Heterogeneous Designs. 83 - Stefania Perri:
RAW 2024 Invited Talk-2: Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge. 84 - Diana Göhringer:
RAW 2024 Invited Talk-3: Self-aware Reliable and Reconfigurable Computing Systems - An Overview. 85 - Dirk Stroobandt:
RAW 2024 Invited Talk-4: Reconfigurable Computing: Quo Vadis? 86 - Masato Motomura:
RAW 2024 Invited Talk-5. 87 - Kentaro Sano:
RAW 2024 Invited Talk-6: Reconfigurable Architectures for High-Performance Computing. 88 - Wei Zhang:
RAW 2024 Invited Talk-7. 89 - Hayden Kwok-Hay So:
RAW 2024 Invited Talk-8: Practical Reconfigurable Computing for Next-Generation Edge Applications. 90 - Andrew Schmidt:
RAW 2024 Invited Talk-9: Riallto: An Open-Source Exploratory Framework for Ryzen AI™. 91 - Yufei Mao, Roland Weiss, Yi Zhang, Yu Li, Marc Rothmann, Mario Porrmann:
FPGA Acceleration of DL-Based Real-Time DC Series Arc Fault Detection. 92-98 - Federico Valentino, Beatrice Branchini
An Accurate Union Find Decoder for Quantum Error Correction on the Toric Code. 99-105 - Marco Venere
Towards the Acceleration of the Sparse Blossom Algorithm for Quantum Error Correction. 106-110 - Erik H. D'Hollander, Ewout Danneels, Karel-Brecht Decorte, Senne Loobuyck, Arne Vanheule, Ian Van Kets, Dirk Stroobandt:
Exploring Large Language Models for Verilog Hardware Design Generation. 111-115 - Jessica Vandebon, José Gabriel F. Coutinho, Wayne Luk:
Auto-Generating Diverse Heterogeneous Designs. 116-123 - Diana Göhringer, Ariel Podlubne, Fabian Vargas, Milos Krstic:
Self-Aware Reliable and Reconfigurable Computing Systems - An Overview. 124-129 - Stefania Perri, Cristian Zambelli, Daniele Ielmini, Cristina Silvano:
Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge. 130-133 - Samuel Collinson, Allan Bai, Oliver Sinnen:
A Fast Scalable Hardware Priority Queue and Optimizations for Multi-Pushes. 134-140 - Claudio Rubattu
FPGA-based Implementation for Industrial Motion Control System. 141-147 - Kazuki Sunaga, Keisuke Sugiura, Hiroki Matsutani:
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm. 148-154 - Carsten Heinz, Torben Kalkhof, Yannick Lavan, Andreas Koch:
TaPaS Co-AIE: An Open-Source Framework for Streaming-Based Heterogeneous Acceleration Using AMD AI Engines. 155-161 - Anna Drewes, Vitalii Burtsev, Bala Gurumurthy, Martin Wilhelm, David Broneske, Gunter Saake, Thilo Pionteck:
An Architectural Template for FPGA Overlays Targeting Data Flow Applications. 162-168 - Sahan Bandara, Ahmed Sanaullah, Zaid Tahir, Ulrich Drepper, Martin C. Herbordt:
Performance Evaluation of VirtIO Device Drivers for Host-FPGA PCIe Communication. 169-176 - Giorgos Armeniakos, Georgios Mentzos, Dimitrios Soudris:
Accelerating TinyML Inference on Microcontrollers Through Approximate Kernels. 177 - Jiajun Wu
A Case for Low Bitwidth Floating Point Arithmetic on FPGA for Transformer Based DNN Inference. 178-185 - Raveena Raikar, Dirk Stroobandt:
Balancing Intra-Die and Inter-Die Placement Optimization in 2.5D FPGA Architectures. 187 - Shubhayu Das, Nanditha P. Rao, Sharad Sinha:
ConvMap: Boosting Convolution Throughput on FPGAs with Efficient Resource Mapping. 189 - Vasilis Kypriotis, Georgios Smaragdos, Pieter Kruizinga, Dimitrios Soudris, Christos Strydis:
A Reconfigurable Architecture of a Scalable, Ultrafast, Ultrasound, Delay-and-Sum Beamformer. 190 - Rui Shi, Seda Ogrenci
ML-Based Real-Time Control at the Edge: An Approach Using hls4ml. 191 - Julian Haase, Nico Volkens, Diana Göhringer:
Network Adapter for Secure Networks-on-Chip. 192 - Zaid Tahir, Sahan Bandara, Martin C. Herbordt:
Multi-Core Multi-Rule VeBPF Firewall for Secure FPGA IoT Device Deployments. 193 - Roberto A. Bertolini, Filippo Carloni, Davide Conficconi, Marco Domenico Santambrogio:
POCA: A PYNQ Offloaded Cryptographic Accelerator on Embedded FPGA-Based Systems. 194 - Jacir Luiz Bordim, Koji Nakano:
APDCM 2024 Preface and Committee List. 195-196 - Hiroki Ohtsuji:
APDCM 2024 Keynote Talk. 197 - Clayton J. Faber, Roger D. Chamberlain:
Application of Network Calculus Models to Heterogeneous Streaming Applications. 198-201 - Maxime Gonthier, Elisabeth Larsson
Data-Driven Locality-Aware Batch Scheduling. 202-211 - Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Combining Lossy Compression with Multi-Level Caching for Data Staging over Network. 212-221 - Yujiro Yahata, Keisuke Sugiura, Hiroki Matsutani:
A Scalable Secure Fault Tolerant Aggregation for P2P Federated Learning. 222-231 - Aoi Kida
Accelerating BFT Database with Transaction Reconstruction. 232-241 - Yusuke Miyazaki, Takashi Hoshino, Hideyuki Kawashima:
Optimizing Aria Concurrency Control Protocol with Early Dependency Resolution. 242-249 - Subhajit Sahu
Shared-Memory Parallel Algorithms for Community Detection in Dynamic Graphs. 250-259 - Pratik Nayak, Hartwig Anzt
A Probabilistic Model for Asynchronous Iterative Methods. 260-269 - Koji Nakano:
The Logarithmic Random Bidding for the Parallel Roulette Wheel Selection with Precise Probabilities. 270-272 - Yasuaki Ito, Satoki Tsuji, Haruto Fujii, Kanta Suzuki, Nobuya Yokogawa, Koji Nakano, Akihiko Kasagi:
Introduction to Computational Quantum Chemistry for Computer Scientists. 273-282 - Shintaro Iwasaki:
AsHES 2024 Preface and Committee List. 283-284 - Philippe Tillet:
Block-based GPU Programming with Triton. 285 - James B. White:
Performance Versus Maintainability: A Case Study of Scream on Frontier. 286-292 - Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari:
ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. 293-300 - Mikhail Kirilin, Carsten Burstedde:
Alternative Quadrant Representations with Morton Index and AVX2 Vectorization for AMR Algorithms within the p4est Software Library. 301-310 - Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. 311-320 - Christoffer Åleskog, Håkan Grahn
A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation. 321-328 - Zheming Jin:
Extending the SYCL Joint Matrix for Binarized Neural Networks. 329-333 - Sushil K. Prasad:
Message from the EduPar-24 Workshop Chairs. 334 - Sushil K. Prasad:
EduPar-24 Workshop Organization. 335-336 - Charles E. Leiserson:
EduPar 2024 Keynote Speaker. 337 - John D. Owens, Bruce Hoppe:
Helping Faculty Teach Software Performance Engineering. 338-341 - Brian Plancher:
Parallel Optimization for Robotics: An Undergraduate Introduction to GPU Parallel Programming and Numerical Optimization Research. 342-345 - Guy E. Blelloch, Yan Gu, Yihan Sun:
Teaching Parallel Algorithms Using the Binary-Forking Model. 346-351 - Alina Lazar
Peachy Parallel Assignments (EduPar 2024). 352-356 - Chris Bourke, Justin W. Firestone:
Codeless PDC Modules for Early Computing Curriculum. 357-364 - Cade Wiley, Grey Ballard:
Visualizing PRAM Algorithm for Mergesort. 365-368 - Lena Oden, Klaus Nölp, Philipp Brauner:
Integrating Interactive Performance Analysis in Jupyter Notebooks for Parallel Programming Education. 369-376 - Elizabeth Shoop, Richard A. Brown, Suzanne J. Matthews, Joel C. Adams
Interactive Textbooks for Parallel and Distributed Computing Across the Undergraduate CS Curriculum. 377-384 - Sandino Vargas Perez
Teaching Performance Metrics in Parallel Computing Courses. 385-390 - Tim Kaler, Xuhao Chen
Speedcode: Software Performance Engineering Education via the Coding of Didactic Exercises. 391-394 - François Tessier, Weikuan Yu:
ESSA 2024 Message and Committees. 395-396 - Hariharan Devarajan, Adam Moody, Donglai Dai, Cameron Stanavige, Elsa Gonsiorowski, Marty McFadden, Olaf Faaland, Gregory Kosinovsky, Kathryn M. Mohror:
The Impact of Asynchronous I/O in Checkpoint-Restart Workloads. 397-405 - Xiang Fu, Xin Huang, Wubiao Xu, Weiping Zhang, Shiman Meng, Luanzheng Guo, Kento Sato:
Benchmarking Variables for Checkpointing in HPC Applications. 406-413 - Matthieu Dorier, Philip H. Carns, Robert B. Ross, Shane Snyder, Robert Latham, Amal Gueroudji
Extending the Mochi Methodology to Enable Dynamic HPC Data Services. 414-422 - Andrew Rodriguez
Adaptive Per-File Lossless Compression of Floating-Point Data. 423-430 - João Speglich, Navjot Kukreja, George Bisbas
Optimizing Forward Wavefield Storage Leveraging High-Speed Storage Media. 431-438 - Bin Dong
The Art of Sparsity: Mastering High-Dimensional Tensor Storage. 439-446 - Nesreen K. Ahmed, Manoj Kumar:
GrAPL 2024 Preface and Committees. 447-448 - Altan Haan, Doru-Thom Popovici, Koushik Sen, Costin Iancu, Alvin Cheung:
To Tile or not to Tile, That is the Question. 449-458 - Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland:
Teaching Network Traffic Matrices in an Interactive Game Environment. 459-467 - Hao Xu, Shuang Song, Ze Mao:
Characterizing the Performance of Emerging Deep Learning, Graph, and High Performance Computing Workloads Under Interference. 468-477 - Raye Kimmerer, Timothy G. Mattson, Scott McMillan, Benjamin Brock, Erik Welch, Michel Pelletier, José E. Moreira:
The GraphBLAS 3.0 Project. 478-481 - Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. 482-485 - Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer:
Multi-Level GNN Preconditioner for Solving Large Scale Problems. 486-495 - Joel Mathew Cherian
STGraph: A Framework for Temporal Graph Neural Networks. 496-505 - Ali TehraniJamsaz, Hanze Chen, Ali Jannesari:
GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching. 506-515 - Raye Kimmerer:
GraphBLAS.jl v0.1: An Update on GraphBLAS in Julia. 516-519 - Abdullah T. Mughrabi, Morteza Baradaran, Ahmed Samara, Kevin Skadron:
ECG: Expressing Locality and Prefetching for Optimal Caching in Graph Structures. 520-525 - Shaikh Arifuzzaman, Hasan Serdar Arikan, Md Abdul Motaleb Faysal, Maximilian H. Bremer, John Shalf
Unlocking the Potential: Performance Portability of Graph Algorithms on Kokkos Framework. 526-529 - Gregory Schwing, Daniel Grosu, Loren Schwiebert:
Shared-Memory Parallel Edmonds Blossom Algorithm for Maximum Cardinality Matching in General Graphs. 530-539 - Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman:
HiCOMB 2024 Preface and Committees. 540 - Wu Feng:
Re-visiting the Third Pillar of Science for Synergistic (Bio)Computing. 541 - Giulia Guidi:
Lessons Learned Designing Irregular Genomic Algorithms on Parallel Systems and Architectures. 542 - Ian Lumsden
Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. 543-553 - Gianmarco Accordi
ZSMILES: An Approach for Efficient SMILES Storage for Random Access in Virtual Screening. 554-560 - Reza Sajjadinasab, Hamed Rastaghi, Hafsah Shahzad, Sanjay Arora, Ulrich Drepper, Martin C. Herbordt:
Further Optimizations and Analysis of Smith-Waterman with Vector Extensions. 561-570 - Archit Vasan, Ozan Gökdemir, Alexander Brace, Arvind Ramanathan, Thomas S. Brettin, Rick Stevens, Venkatram Vishwanath:
High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model. 571-580 - Pete Beckman:
PAISE 2024 Preface and Committees. 581-583 - Matthew Jackson, Bo Ji, Dimitrios S. Nikolopoulos:
FrameFeedback: A Closed-Loop Control System for Dynamic Offloading Real-Time Edge Inference. 584-591 - Hasanul Mahmud, Peng Kang
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. 592-599 - Juliana Curry, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
PCM Enabled Low-Power Photonic Accelerator for Inference and Training on Edge Devices. 600-607 - Hooyoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Nick Contini, Bharath Ramesh, Mustafa Abduljabbar, Dhabaleswar K. Panda:
Towards Accelerating k-NN with MPI and Near-Memory Processing. 608-615 - Artur Podobas:
CGRA4HPC 2024 Welcome Message and Committee List. 616-617 - Jiangnan Li
An Architecture-Agnostic Dataflow Mapping Framework on CGRA. 618-625 - Jingyuan Li, Yuan Dai
TransMap: An Efficient CGRA Mapping Framework via Transformer and Deep Reinforcement Learning. 626-633 - Chihyo Ahn, Shinnung Jeong, Liam Paul Cooper, Nicholas Parnenzini, Hyesoon Kim:
Comparative Analysis of Executing GPU Applications on FPGA: HLS vs. Soft GPU Approaches. 634-641 - Omar Ragheb, Stephen Wicklund, Matthew Walker, Rami Beidas, Adham Ragab, Tianyi Yu, Jason Helge Anderson:
CGRA-ME 2.0: A Research Framework for Next-Generation CGRA Architectures and CAD. 642-649 - Makoto Saito, Takuya Kojima
A Scalable Mapping Method for Elastic CGRAs. 650-657 - Maya Borowicz, James Ding, Winnie Fan, Zhongqi Gao, Davis Jackson, Ares Lu, Sophia Rohlfsen, Ray Simar:
GIM (Ghost In the Machine): A Coarse-Grained Reconfigurable Compute-In-Memory Platform for Exploring Machine-Learning Architectures. 658-663 - Seyong Lee, Lena Oden:
HIPS 2024 Preface and Committees. 664-665 - HsinYu Sidney Tsai:
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks. 666 - Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter:
eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages. 667-677 - Yicheng Li, Joseph Schuchart, George Bosilca:
Comprehensive Study for Just-In-Time Pack Functions in Open MPI. 678-685 - Rajat Bhattarai
Dynamic Resource Management for Elastic Scientific Workflows using PMIx. 686-695 - Ian Di Dio Lavore, Davide Maffi, Marco Arnaboldi, Arnaud Delamare, Daniele Bonetta, Marco D. Santambrogio:
GrOUT: Transparent Scale-Out to Overcome UVM's Oversubscription Slowdowns. 696-705 - Jamison Kerney, Ioan Raicu, John Raicu, Kyle Chard:
Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries. 706-715 - Daniel Barry, Anthony Danalis
Automated Data Analysis for Defining Performance Metrics from Raw Hardware Events. 716-725 - Yectli A. Huerta
Performance Analysis of the NVIDIA HPC SDK and AMD AOCC Compilers in an HPC Cluster Using Pooled, Robust and Relative Metrics. 726-737 - Pedro Valero-Lara:
9th IEEE International Workshop on Automatic Performance Tuning (iWAPT 2024). 738-739 - Damian W. I. Rouson:
iWAPT 2024 Keynote Talk: What Happens to a Dream Deferred? Chasing Automatic Offloading in Fortran 2023. 740 - Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin:
An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. 741-750 - Kengo Nakajima:
Communication-Computation Overlapping for Parallel Multigrid Methods. 751-760 - Mingzhe Han
PML-MPI: A Pre-Trained ML Framework for Efficient Collective Algorithm Selection in MPI. 761-770 - Emmanuel Jeannot, Pierre Lemarinier, Guillaume Mercier, Sophie Robert-Hayek, Richard Sartori:
Application-Agnostic Auto-Tuning of Open MPI Collectives Using Bayesian Optimization. 771-781 - Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
XAI-Based Feature Importance Analysis on Loop Optimization. 782-791 - Adrián Pérez Diéguez, Min Choi, Mahmut Okyay, Mauro Del Ben, Bryan M. Wong, Khaled Z. Ibrahim:
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality. 792-801 - Dalibor Klusácek, Julita Corbalán, Gonzalo P. Rodrigo:
27th Workshop on Job Scheduling Strategies for Parallel Processing; (JSSPP 2024). 802 - Hien Nguyen, Jeremy E. Thompson:
ParSocial 2024 Welcome and Committee List. 803-804 - Jay Vap, Peter M. Kogge:
RIMR: Reverse Influence Maximization Rank. 805-814 - Naw Safrin Sattar
Distributed Multi-GPU Community Detection on Exascale Computing Platforms. 815-824 - Subhajit Sahu
Lock-free Computation of PageRank in Dynamic Graphs. 825-834 - Elizabeth R. Koning, William Gropp:
Proposal for a Flexible Benchmark for Agent Based Models. 835-838 - Suresh Subramanian, Vairavan Murugappan
Socio-Behavioral Influences in Epidemic Modeling: Towards a Unified Framework. 839-842 - Arindam Fadikar, Abby Stevens, Nicholson T. Collier, Kok Ben Toh, Olga Morozova, Anna Hotton, Jared Clark, David Higdon, Jonathan Ozik:
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo. 843-852 - Youcef Djenouri, Fabio Augusto de Alcantara Andrade
Revolutionizing Personal Recommendations via Federated Contrastive Transformer Learning. 853-856 - Mert Can Cakmak, Nitin Agarwal:
High-Speed Transcript Collection on Multimedia Platforms: Advancing Social Media Research through Parallel Processing. 857-860 - Ronaldo Canizales, Luis Mixco, Jedidiah McClurg:
Parallelizing Accelerographic Records Processing. 861-869 - Guillaume Helbecque, Ezhilmathi Krishnasamy
GPU-Accelerated Tree-Search in Chapel Versus CUDA and HIP. 872-879 - Gregory Schwing, Daniel Grosu, Loren Schwiebert:
Parallel Maximum Cardinality Matching for General Graphs on GPUs. 880-889 - Sumiaya Dabeer, Amitabha Bagchi, Rahul Narain:
GPU-LSolve: An Efficient GPU-Based Laplacian Solver for Million-Scale Graphs. 890-899 - Tarek Menouer, Christophe Cérin, Patrice Darmon:
KOptim: Kubernetes Optimization Framework. 900-908 - José Miguel Aragón-Jurado
Electric Drive Assignment Strategies Optimization for Plugin Hybrid Urban Buses on Tailored Emissions Mapping. 909-918 - Mehrnaz Sharifian, Diman Zad Tootaghaj, Chen-Nee Chuah, Puneet Sharma:
DUST: Resource-Aware Telemetry Offloading with A Distributed Hardware-Agnostic Approach. 919-928 - Dayuan Chen, Noe Soto, Jonas F. Tuttle, Ziliang Zong:
Understanding Multi-Dimensional Efficiency of Fine-Tuning Large Language Models Using SpeedUp, MemoryUp, and EnergyUp. 929-937 - Florian Fey, Sergei Gorlatch:
Compiler-Driven SWAR Parallelism for High-Performance Bitboard Algorithms. 938-946 - Abass Sana, Kaoutar Senhaji
Multiobjective Based Strategy for Neural Architecture Search for Segmentation Task. 947-955 - Didier El Baz, Jia Luo, Hao Mo, Lei Shi:
A Mathematical Model and a Convergence Result for Totally Asynchronous Federated Learning. 956-963 - Yasith Udagedara, Andrea Raith, Oliver Sinnen:
State-Space Search to Find Energy-Aware Pareto-Efficient Optimal Task Schedules. 964-973 - Sabine Roller, George Bosilca, Raphaël Couturier, Neda Ebrahimi Pour, Jean-Claude Charr, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
Message from the PDSEC-24 Workshop Chairs. 974-975 - Alice Lasserre, Jean Marie Couteyen-Carpaye, Abdou Guermouche, Raymond Namyst:
Multi-Criteria Mesh Partitioning for an Explicit Temporal Adaptive Task-Distributed Finite-Volume Solver. 976-985 - Pablo Vizcaino
Graph Computing on Long Vector Architectures (Yes, It Works!). 986-995 - Camille Coti, Yann Pfau-Kempf
Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. 996-1005 - Vincent Alba, Olivier Aumage, Denis Barthou, Raphaël Colin, Marie Christine Counilh, Stéphane Genaud, Amina Guermouche, Vincent Loechner, Arun Thangamani:
Performance Portability of Generated Cardiac Simulation Kernels Through Automatic Dimensioning and Load Balancing on Heterogeneous Nodes. 1006-1015 - Jurdana Masuma Iqrah, Wei Wang, Hongjie Xie, Sushil K. Prasad:
A Parallel Workflow for Polar Sea-Ice Classification Using Auto-Labeling of Sentinel-2 Imagery. 1016-1025 - Jesse McDonald, Maximilian Horzela, Frédéric Suter, Henri Casanova:
Automated Calibration of Parallel and Distributed Computing Simulators: A Case Study. 1026-1035 - Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis
Pretraining Billion-Scale Geospatial Foundational Models on Frontier. 1036-1046 - Kshitij Mehta, Massimiliano Lupo Pasini
Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules. 1047-1056 - Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta, Aiichiro Nakano:
Accelerating Quantum Light-Matter Dynamics on Graphics Processing Units. 1057-1066 - Ashfaq Khokhar, Mary Eshaghian-Wilner, Robert A. M. Basili:
Q-CASA 2024 Preface and Committee List. 1067 - Shiplu Sarker, Wenyang Qian, Soham Pal
Quantifying Performance of Wire-Based Quantum Circuit Cutting with Entanglements. 1068-1077 - Marcel Quanz, Korbinian Staudacher, Karl Fürlinger:
Parallel Quantum Circuit Extraction from MBQC-Patterns. 1078-1087 - Aniello Esposito, Tamuz Danzig:
Hybrid Classical-Quantum Simulation of MaxCut using QAOA-in-QAOA. 1088-1094 - Annalisa Massini, Federico Mingardi:
A Delay-Efficient Implementation of Quantum Carry Select Adders. 1095-1104 - Aaron Orenstein, Vipin Chaudhary:
Quantum Circuit Mapping Using Binary Integer Nonlinear Programming. 1105-1114 - Tobias Stollenwerk
Measurement-Based Quantum Approximate Optimization. 1115-1127 - J. Xun, Qin Liu, Shan Huang, Andi Chen, W. Shengjun:
Image Compression and Reconstruction Based on Quantum Network. 1128-1135 - Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl:
Cutting a Wire with Non-Maximally Entangled States. 1136-1145 - William Ruys
A Deep Dive into Task-Based Parallelism in Python. 1147-1149 - Viktoria Mayer
A New Exact State Reconstruction Strategy for Conjugate Gradient Methods with Arbitrary Preconditioners. 1150-1152 - Muna Tageldin, Majeed M. Hayat, Jered Dominguez-Trujillo
A Stochastic Composite Model to Understand the Impact of Rare, Colossal Interference in HPC Systems. 1153-1155 - Jin Xue, Zili Shao:
Accelerating Native Transaction Processing in LSM-Based Persistent Key-Value Stores. 1156-1158 - Xu Zhang, Guangda Zhang, Lu Wang, Xia Zhao:
AdCoalescer: An Adaptive Coalescer to Reduce the Inter-Module Traffic in MCM-GPUs. 1159-1160 - Xiang Chen, Ru Ying, Haocong Ma, Yao Wang, Xianjun Meng, Guangjun Xie, Yonghui Zhan, Fenyong Yuan, Ying Yang, Tao Lu, Jinqiang Wang, You Zhou, Fei Wu:
An SR-IOV SSD Optimized for QoS-Sensitive IaaS Cloud Storage. 1161-1163 - Mathhew Whitlock
Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications. 1164-1166 - Shinyoung Ahn, Hooyoung Ahn, Hyeonseong Choi, Jaehyun Lee:
EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster. 1167-1168 - Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman:
Efficient Multi-Processor Scheduling in Increasingly Realistic Models (Brief Summary). 1169-1171 - Martijn de Vos, Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma
Energy-Aware Decentralized Learning with Intermittent Model Training. 1172-1174 - Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. 1175-1177 - Baodi Shan
Evaluation of Programming Models and Performance for Stencil Computation on GPGPUs. 1178-1180 - Eunji Lee, Yoonsang Han, Gordon Euhyun Moon:
Exploiting Tensor Cores in Sparse Matrix-Multivector Multiplication via Block-Sparsity-Aware Clustering. 1181-1183 - Md Sirajul Islam
FedClust: Optimizing Federated Learning on Non-IID Data Through Weight-Driven Client Clustering. 1184-1186 - Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. 1187-1188 - Janaina Schwarzrock, Arthur Francisco Lorenzon, Samuel Xavier de Souza
Integration Framework for Online Thread Throttling with Thread and Page Mapping on NUMA Systems. 1189-1192 - Jonghyun Bae
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training. 1193-1195 - Suraiya Tairin, Haiying Shen, Anand P. Iyer
Proactive, Accuracy-aware Straggler Mitigation in Machine Learning Clusters. 1196-1198 - Isuru Ranawaka, Ariful Azad:
Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations. 1199-1201 - Jie Li
Scheduling and Allocation of Disaggregated Memory Resources in HPC Systems. 1202-1203 - Subhajit Sahu
Shared-Memory Parallel Dynamic Louvain Algorithm for Community Detection. 1204-1205 - Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminabadi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. 1206-1208 - Evgeniy Feder, Anton Paramonov, Pavel Mavrin, Iosif Salem, Stefan Schmid, Vitaly Aksenov
Toward Self-Adjusting $k$-Ary Search Tree Networks. 1209-1211 - Dinghuang Hu, Dezun Dong:
Understanding Different Transport Coexistence in Datacenter Networks. 1212-1213 - Sanmukh Kuppannagari, Tanwi Mallick:
IPDPS 2024 PhD Forum. 1214-1233
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