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ORCID36th SBAC-PAD 2024: Hilo, HI, USA
- 36th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2024, Hilo, HI, USA, November 13-15, 2024. IEEE 2024, ISBN 979-8-3503-5616-8
- Yuan Yao, Xiaoyue Chen, Hannah Atmer, Stefanos Kaxiras:
TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks. 1-12 - Hariharan Devarajan, Ian Lumsden
, Chen Wang, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer:
DYAD: Locality-aware Data Management for accelerating Deep Learning Training. 13-24 - Pavlos Aimoniotis, Stefanos Kaxiras:
JANUS: A Simple and Efficient Speculative Defense using Reinforcement Learning. 25-36 - Olivier Beaumont, Jean-François David, Lionel Eyraud-Dubois, Samuel Thibault:
Exploiting Processor Heterogeneity to Improve Throughput and Reduce Latency for Deep Neural Network Inference. 37-48 - Allan Pinto, Gustavo Leite, Márcio Machado Pereira, Hervé Yviquel, Sandro Rigo, Guido Araujo:
DeepWave: A Software Stack for Parallelizing Deep Learning Models Used in Geophysics. 49-58 - Manuel Freire, Ernesto Dufrechou, Pablo Ezzatti:
A new level-set analysis and sparse storage format for the SPTRSV in GPUs. 59-69 - Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker:
A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. 70-80 - Hariharan Devarajan, Kathryn M. Mohror:
TailorFS: An Adaptive File System to Support Dynamic I/O requirements of HPC Workloads. 81-92 - Dmytro Povaliaiev, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns:
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow. 93-104 - Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead:
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. 105-115 - Scott Levy, Joshua Hemmert, Kurt B. Ferreira, Kevin T. Pedretti:
Characterizing the Impact of Job Execution on the Occurrence of Memory Failures on a Petascale HPC System. 116-126 - Arthur Francisco Lorenzon, Philippe O. A. Navaux, Alexandre Sardinha, Bronson Messer:
Towards Performance Portability of an Oil and Gas Application on Heterogeneous Architectures. 127-137 - Louis Morge-Rollet, Camélia Slimani, Laurent Lemarchand, Frédéric Le Roy, David Espes, Jalil Boukhobza:
IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms. 138-147 - Alan L. Nunes, Cristina Boeres, Lúcia M. A. Drummond, Laércio Lima Pilla:
Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources. 148-158 - Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Roger Pearce, Ivy Peng:
Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing. 159-169 - Samuel A. Maloney, Estela Suarez, Norbert Eicker, Filipe Souza Mendes Guimarães, Wolfgang Frings:
Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization. 170-181 - Mirco Mannino, Biagio Peccerillo, Andrea Mondelli, Sandro Bartolini:
DeVAS: Decoupled Virtual Address Spaces. 182-193 - Isaac Boixaderas, Jorge Amaya, Sergi Moré, Javier Bartolome, David Vicente, Osman S. Unsal, Dimitris Gizopoulos, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé:
DRAM Errors and Cosmic Rays: Space Invaders or Science Fiction? 194-205 - Elias Perdomo, Xavier Martorell, Teresa Cervero, Behzad Salami:
Memory Sandbox: A Versatile Tool for Analyzing and Optimizing HBM Performance in FPGA. 206-217 - Tejeshwar Bhagatsing Thorawade, Prajakta Yeola, Varun Venkitaraman, Virendra Singh:
S-Clflush: Securing Against Flush-based Cache Timing Side-Channel Attacks. 218-228 - Daniel Ryley Johnson, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan:
To Protect or Not To Protect: Probability-Aware Selective Protection for Sparse Iterative Solvers. 229-238
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