| 2023 | A Benchmark Suite for Improving Performance Portability of the SYCL Programming Model. Zheming Jin, Jeffrey S. Vetter |
| 2023 | A Characterization of the Effects of Software Instruction Prefetching on an Aggressive Front-end. Gino Chacon, Nathan Gober, Krishnendra Nathella, Paul V. Gratz, Daniel A. Jiménez |
| 2023 | A Novel Simulation Methodology for Silicon Photonic Switching Fabrics. Markos Kynigos, Javier Navaridas, Jose Antonio Pascual, Mikel Luján |
| 2023 | A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs. Ying Li, Yifan Sun, Adwait Jog |
| 2023 | A survey and comparison of consistent hashing algorithms. Massimo Coluzzi, Amos Brocco, Patrizio Contu, Tiziano Leidi |
| 2023 | AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. Diksha Moolchandani, Joyjit Kundu, Frederik Ruelens, Peter Vrancx, Timon Evenblij, Manu Perumkunnil |
| 2023 | ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2023 | An Application-Oriented Approach to Designing Hybrid CPU Architectures. Anna Yue, Sanyam Mehta |
| 2023 | Analysis of Conventional, Near-Memory, and In-Memory DNN Accelerators. Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie |
| 2023 | Analyzing Energy Efficiency of a Server with a SmartNIC under SLO Constraints. Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim |
| 2023 | Boreas: A Cost-Effective Mitigation Method for Advanced Hotspots using Machine Learning and Hardware Telemetry. Maziar Amiraski, David Werner, Alexander Hankin, Julien Sebot, Kaushik Vaidyanathan, Mark Hempstead |
| 2023 | CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi |
| 2023 | Characterization of Data Compression in Datacenters. Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna |
| 2023 | Characterizing the Scalability of Graph Convolutional Networks on Intel Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks |
| 2023 | Community-based Matrix Reordering for Sparse Linear Algebra Optimization. Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Stephen W. Keckler |
| 2023 | Degree-Aware Kernel Mapping for Graph Processing on GPUs. Sanya Srivastava, Tyler Sorensen |
| 2023 | Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management. Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, Won Woo Ro |
| 2023 | Enabling Design Space Exploration of DRAM Caches for Emerging Memory Systems. Maryam Babaie, Ayaz Akram, Jason Lowe-Power |
| 2023 | Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems. Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu |
| 2023 | Evaluating the Impact of Optimizations for Dynamic Binary Modification on 64-bit RISC-V. John Alistair Kressel, Guillermo Callaghan, Cosmin Gorgovan, Mikel Luján |
| 2023 | Exploring the Efficiency of Data-Oblivious Programs. Lauren Biernacki, Biniyam Mengist Tiruye, Meron Zerihun Demissie, Fitsum Assamnew Andargie, Brandon Reagen, Todd M. Austin |
| 2023 | Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis. Zhuren Liu, Shouzhe Zhang, Justin Garrigus, Hui Zhao |
| 2023 | IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023, Raleigh, NC, USA, April 23-25, 2023 |
| 2023 | Impact of Optimal Design Point on Performance Metrics of DNN accelerators in FPGA. Tom Glint, Aryan Gupta, Daniel Giftson, Gaurav Shah, Vrajesh Patel, Ruchit Chudasama, Sukanya More, Joycee Mekie |
| 2023 | Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei |
| 2023 | KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis |
| 2023 | LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators. Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer |
| 2023 | MBPlib: Modular Branch Prediction Library. Emilio Domínguez-Sánchez, Alberto Ros |
| 2023 | MQL: ML-Assisted Queuing Latency Analysis for Data Center Networks. Shruti Yadav Narayana, Jie Tong, Anish Krishnakumar, Nuriye Yildirim, Emily Shriver, Mahesh Ketkar, Ümit Y. Ogras |
| 2023 | MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration. Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan |
| 2023 | PES: An Energy and Throughput Model for Energy Harvesting IoT Systems. Fatemeh Ghasemi, Lukas Liedtke, Magnus Jahre |
| 2023 | Profiling gem5 Simulator. Johnson Umeike, Neel Patel, Alex Manley, Amin Mamandipoor, Heechul Yun, Mohammad Alian |
| 2023 | PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications. Jiaao Ma, Ceyu Xu, Lisa Wu Wills |
| 2023 | RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory. Stavroula Zouzoula, Muhammad Waqar Azhar, Pedro Trancoso |
| 2023 | RPU: The Ring Processing Unit. Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen |
| 2023 | Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads. Yanwen Xu, Ang Li, Tyler Sorensen |
| 2023 | Sieve: Stratified GPU-Compute Workload Sampling. Mahmood Naderan-Tahan, Hossein SeyyedAghaei, Lieven Eeckhout |
| 2023 | Simulating Wrong-Path Instructions in Decoupled Functional-First Simulation. Stijn Eyerman, Sam Van den Steen, Wim Heirman, Ibrahim Hur |
| 2023 | Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst |
| 2023 | Sunstone: A Scalable and Versatile Scheduler for Mapping Tensor Algebra on Spatial Accelerators. MohammadHossein Olyaiy, Christopher Ng, Alexandra (Sasha) Fedorova, Mieszko Lis |
| 2023 | TransPimLib: Efficient Transcendental Functions for Processing-in-Memory Systems. Maurus Item, Geraldo F. Oliveira, Juan Gómez-Luna, Mohammad Sadrosadati, Yuxin Guo, Onur Mutlu |
| 2023 | Workload Characterization Using Hierarchical PCA. Lina Sawalha, Grant Deljevic |
| 2023 | lfbench: a lock-free microbenchmark suite. Mahita Nagabhiru, Greg Byrd |