IEEE International Symposium on Performance Analysis of Systems and Software
ISPASS
B
CORE rank
CORE rank (raw)
B
Fields of research
Software Engineering
Papers indexed
891
2000–2026
Papers per year
200065 peak2026
Most published authors
ISPASS papers
891 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2021 | AIBench Training: Balanced Industry-Standard AI Training Benchmarking. | Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Jiahui Dai, Hainan Ye |
| 2021 | Thermal-Aware Overclocking for Smartphones. | Guru Prasad Srinivasa, David Werner, Mark Hempstead, Geoffrey Challen |
| 2021 | MicroGrad: A Centralized Framework for Workload Cloning and Stress Testing. | Gokul Subramanian Ravi, Ramon Bertran, Pradip Bose, Mikko H. Lipasti |
| 2021 | Comparative Code Structure Analysis using Deep Learning for Performance Prediction. | Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Nathan Pinnow, Jayaraman J. Thiagarajan |
| 2021 | ViStA: Video Streaming and Analytics Benchmark. | Navneet Raju, Rahul M. Koushik, Hari Om, Subramaniam Kalambur |
| 2021 | FireMarshal: Making HW/SW Co-Design Reproducible and Reliable. | Nathan Pemberton, Alon Amid |
| 2021 | Efficient Split Counter Mode Encryption for NVM. | Qi Pei, Seunghee Shin |
| 2021 | Efficient Management of Scratch-Pad Memories in Deep Learning Accelerators. | Subhankar Pal, Swagath Venkataramani, Viji Srinivasan, Kailash Gopalakrishnan |
| 2021 | Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures. | Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor |
| 2021 | Designing GPU Architecture for Memory Bandwidth Reservation. | Emir C. Marangoz, Kyoung-Don Kang, Seunghee Shin |
| 2021 | Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. | Michael Lui, Yavuz Yetim, zgr zkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead |
| 2021 | Pinpointing the Memory Behaviors of DNN Training. | Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng |
| 2021 | Analyzing the Interplay Between Random Shuffling and Storage Devices for Efficient Machine Learning. | Zhi-Lin Ke, Hsiang-Yun Cheng, Chia-Lin Yang, Han-Wei Huang |
| 2021 | E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. | Sheng-Chun Kao, Tushar Krishna |
| 2021 | Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. | Wonkyung Jung, Eojin Lee, Sangpyo Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn |
| 2021 | Re-establishing Fetch-Directed Instruction Prefetching: An Industry Perspective. | Yasuo Ishii, Jaekyu Lee, Krishnendra Nathella, Dam Sunwoo |
| 2021 | A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems. | Mark Hildebrand, Julian T. Angeles, Jason Lowe-Power, Venkatesh Akella |
| 2021 | Real-Time Characterization of Data Access Correlations. | Bryan Harris, Michael Marzullo, Nihat Altiparmak |
| 2021 | Splash-4: Improving Scalability with Lock-Free Constructs. | Eduardo Jos Gmez-Hernndez, Ruixiang Shao, Christos Sakalis, Stefanos Kaxiras, Alberto Ros |
| 2021 | An Automated Traffic Generation Framework for Performance Evaluation of Networks-on-Chip for Real World Use Cases. | Sri Harsha Gade, Anup Gangwar, Ambica Prasad, Nitin Kumar Agarwal, Ravishankar Sreedharan |
| 2021 | Pitfalls of InfiniBand with On-Demand Paging. | Takuya Fukuoka, Shigeyuki Sato, Kenjiro Taura |
| 2021 | How Do Graph Relabeling Algorithms Improve Memory Locality? | Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck |
| 2021 | A Defense-Inspired Benchmark Suite. | Pete Ehrett, Nathan Block, Bing Schaefer, Adrian Berding, John Paul Koenig, Pranav Srinivasan, Valeria Bertacco, Todd M. Austin |
| 2021 | Performance Characterization of .NET Benchmarks. | Aniket Deshmukh, Ruihao Li, Rathijit Sen, Robert R. Henry, Monica Beckwith, Gagan Gupta |
| 2021 | AI Tax in Mobile SoCs: End-to-end Performance Analysis of Machine Learning in Smartphones. | Michael Buch, Zahra Azad, Ajay Joshi, Vijay Janapa Reddi |
251–275 of 891← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICSEInternational Conference on Software Engineering
- AOOPSLAACM Conference on Object Oriented Programming Systems Languages and Applications
- AMODELSInternational Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005)
- AREIEEE International Requirements Engineering Conference
- ABPMInternational Conference in Business Process Management
- AISSREInternational Symposium on Software Reliability Engineering
- AICSTInternational Conference on Software Testing, Verification and Validation
- A*SIGMETRICSMeasurement and Modeling of Computer Systems