Abstract is missing.
- TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural NetworksYuan Yao 0009, Xiaoyue Chen, Hannah Atmer, Stefanos Kaxiras. 1-12 [doi]
- DYAD: Locality-aware Data Management for accelerating Deep Learning TrainingHariharan Devarajan, Ian Lumsden, Chen Wang 0004, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer. 13-24 [doi]
- JANUS: A Simple and Efficient Speculative Defense using Reinforcement LearningPavlos Aimoniotis, Stefanos Kaxiras. 25-36 [doi]
- Exploiting Processor Heterogeneity to Improve Throughput and Reduce Latency for Deep Neural Network InferenceOlivier Beaumont, Jean-François David, Lionel Eyraud-Dubois, Samuel Thibault. 37-48 [doi]
- DeepWave: A Software Stack for Parallelizing Deep Learning Models Used in GeophysicsAllan Pinto, Gustavo Leite, Márcio Machado Pereira, Hervé Yviquel, Sandro Rigo, Guido Araujo. 49-58 [doi]
- A new level-set analysis and sparse storage format for the SPTRSV in GPUsManuel Freire 0002, Ernesto Dufrechou, Pablo Ezzatti. 59-69 [doi]
- A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel ApproachesKasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker. 70-80 [doi]
- TailorFS: An Adaptive File System to Support Dynamic I/O requirements of HPC WorkloadsHariharan Devarajan, Kathryn M. Mohror. 81-92 [doi]
- High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning WorkflowDmytro Povaliaiev, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns. 93-104 [doi]
- To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities ComputationAna Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead. 105-115 [doi]
- Characterizing the Impact of Job Execution on the Occurrence of Memory Failures on a Petascale HPC SystemScott Levy, Joshua Hemmert, Kurt B. Ferreira, Kevin T. Pedretti. 116-126 [doi]
- Towards Performance Portability of an Oil and Gas Application on Heterogeneous ArchitecturesArthur Francisco Lorenzon, Phillipe O. A. Navaux, Alexandre Sardinha, Bronson Messer. 127-137 [doi]
- IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded PlatformsLouis Morge-Rollet, Camélia Slimani, Laurent Lemarchand, Frédéric Le Roy, David Espes, Jalil Boukhobza. 138-147 [doi]
- Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous ResourcesAlan L. Nunes, Cristina Boeres, Lúcia M. A. Drummond, Laércio Lima Pilla. 148-158 [doi]
- Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph ProcessingJacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Roger Pearce, Ivy Peng. 159-169 [doi]
- Analyzing HPC Monitoring Data With a View Towards Efficient Resource UtilizationSamuel Maloney, Estela Suarez, Norbert Eicker, Filipe Souza Mendes Guimarães, Wolfgang Frings. 170-181 [doi]
- DeVAS: Decoupled Virtual Address SpacesMirco Mannino, Biagio Peccerillo, Andrea Mondelli, Sandro Bartolini. 182-193 [doi]
- DRAM Errors and Cosmic Rays: Space Invaders or Science Fiction?Isaac Boixaderas, Jorge Amaya, Sergi Moré, Javier Bartolome, David Vicente, Osman S. Unsal, Dimitris Gizopoulos, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé. 194-205 [doi]
- Memory Sandbox: A Versatile Tool for Analyzing and Optimizing HBM Performance in FPGAElias Perdomo, Xavier Martorell, Teresa Cervero, Behzad Salami 0001. 206-217 [doi]
- S-Clflush: Securing Against Flush-based Cache Timing Side-Channel AttacksTejeshwar Bhagatsing Thorawade, Prajakta Yeola, Varun Venkitaraman, Virendra Singh. 218-228 [doi]
- To Protect or Not To Protect: Probability-Aware Selective Protection for Sparse Iterative SolversDaniel Ryley Johnson, Hongyang Sun 0001, Joshua Dennis Booth, Padma Raghavan. 229-238 [doi]