International Symposium on High Performance Computer Architecture
HPCA
A*
CORE rank
CORE rank (raw)
A*
Fields of research
Computer Systems Engineering · Distributed Computing and Systems Software
Papers indexed
1,671
1995–2026
Papers per year
1995122 peak2026
Most published authors
HPCA papers
1,671 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2026 | GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering. | Junseo Lee, Sangyun Jeon, Jungi Lee, Junyong Park, Jaewoong Sim |
| 2026 | PIM-Malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures. | Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, Minsoo Rhu |
| 2026 | PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-Based Long-Context LLM Inference System. | Hyucksung Kwon, Kyungmo Koo, Janghyeon Kim, Woongkyu Lee, Minjae Lee, Gyeonggeun Jung, Hyungdeok Lee, Yousub Jung, Jaehan Park, Yosub Song, Byeongsu Yang, Haerang Choi, Guhyun Kim, Jongsoon Won, Woojae Shin, Changhyun Kim, Gyeongcheol Shin, Yongkee Kwon, Ilkon Kim, Euicheol Lim, John Kim, Jungwook Choi |
| 2026 | Pinball: A Cryogenic Predecoder for Quantum Error Correction Decoding Under Circuit-Level Noise. | Alexander Knapen, Guanchen Tao, Jacob Mack, Tomas Bruno, Mehdi Saligane, Dennis Sylvester, Qirui Zhang, Gokul Subramanian Ravi |
| 2026 | V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval. | Donghyuk Kim, Sejeong Yang, Wonjin Shin, Joo-Young Kim |
| 2026 | LiLo: Harnessing the on-Chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration. | Hyungyo Kim, Qirong Xia, Jinghan Huang, Nachuan Wang, Younjoo Lee, Jung Ho Ahn, Wajdi K. Feghali, Ren Wang, Nam Sung Kim |
| 2026 | The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective. | Jiin Kim, Byeongjun Shin, Jinha Chung, Minsoo Rhu |
| 2026 | SMTcheck: Accurate SMT Interference Prediction to Improve Scheduling Efficiency in Datacenters. | Sanghyun Kim, Jinhyeok Oh, Taehun Kim, Gyutae Kim, Youngsok Kim, Jaehyun Hwang, Joonsung Kim |
| 2026 | VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG. | Junkyum Kim, Divya Mahajan |
| 2026 | NPUWattch: ML-Based Power, Area, and Timing Modeling for Neural Accelerators. | Sehyeon Kim, Minkwan Kim, Chanho Park, Hanmok Park, Seonghoon Kim, Taigon Song, William J. Song |
| 2026 | MemSOS: OS-Guided Selective Memory Mirroring. | Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee |
| 2026 | IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements. | Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn |
| 2026 | GyRot: Leveraging Hidden Synergy Between Rotation and Fine-Grained Group Quantization for Low-Bit LLM Inference. | Sangjin Kim, Yuseon Chou, Byeongcheol Kim, Jungjun Oh, Hoi-Jun Yoo |
| 2026 | Cyclone: Designing Efficient and Highly Parallel QCCD Architectural Codesigns for Fault Tolerant Quantum Memory. | Sahil Khan, Abhinav Anand, Kenneth R. Brown, Jonathan M. Baker |
| 2026 | AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance. | Seungkwan Kang, Seungjun Lee, Donghyun Gouk, Miryeong Kwon, Hyunkyu Choi, Junhyeok Jang, Sangwon Lee, Huiwon Choi, Jie Zhang, Wonil Choi, Mahmut Taylan Kandemir, Myoungsoo Jung |
| 2026 | Secret Caching Sauce for High-Performance Secure Memory. | Xu Jiang, Xueliang Wei, Yifei Qu, Dan Feng, Yulai Xie, Wei Tong |
| 2026 | Exploration of LLM Workload Reliability Based on di/dt Effects and Voltage Droops. | Zhixing Jiang, Justin Garrigus, Allison Seigler, Ethan Syed, Yan-Lun Huang, Mehdi Sadi, Tawfik Rahal-Arabi, Lizy Kurian John |
| 2026 | Toward Scalable Gate-Level Parallelism on Trapped-Ion Processors with Racetrack Electrodes. | Enhyeok Jang, Hyungseok Kim, Yongju Lee, Jaewon Kwon, Yipeng Huang, Won Woo Ro |
| 2026 | GustavSNN: Unleashing the Power of Gustavson's Algorithm on SNN Acceleration with Column-Parallel Tick-Batch Dataflow. | Sangwoo Hwang, Donghun Lee, Jahyun Koo, Jaeha Kung |
| 2026 | Swift: High-Performance Sparse-Dense Matrix Multiplication on GPUs. | Jinyu Hu, Huizhang Luo, Hong Jiang, Marc Casas, Kenli Li, Chubo Liu |
| 2026 | SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. | Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo |
| 2026 | FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. | Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng |
| 2026 | Share: Non-Intrusive Kernel Co-Locating on NVIDIA GPUs. | Wenhao Huang, Zhaolin Duan, Laiping Zhao, Yuhao Zhang, Yanjie Wang, Yiming Li, Yihan Wang, Yichi Chen, Zhihang Tang, Kang Chen, Deze Zeng, Wenxin Li, Keqiu Li |
| 2026 | LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM. | Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, Seongyeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee |
| 2026 | Peregrine: Accelerating TFHE Bootstrapping on GPUs via Multi-Level External Product Co-Design. | Haoqi He, Zhiwei Wang, Lutan Zhao, Dian Jiao, Dan Meng, Rui Hou |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ADATEDesign, Automation and Test in Europe Conference
- A*DACDesign Automation Conf
- ASCInternational Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference)
- AICCADIEEE/ACM International Conference on Computer-Aided Design
- AITCIEEE International Test Conference
- A*ISCAACM International Symposium on Computer Architecture
- A*MICROInternational Symposium on Microarchitecture
- AISLPEDIEEE/ACM International Symposium on Low Power Electronics and Design