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