| 2024 | MemSort: In-Memory Sorting Architecture. | Rui Liu, Xiaoyu Zhang, Xinyu Wang, Feng Min, Zhejian Luo, Xiaoming Chen, Yinhe Han, Minghua Tang |
| 2024 | HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang |
| 2024 | Simultaneous Conjugate Gradient and iAFF-UNet for Accurate IR Drop Calculation. | He Liu, Yipei Xu, Simin Tao, Zhipeng Huang, Biwei Xie, Xingquan Li, Wei Gao |
| 2024 | RAID45: Hybrid Parity-Based RAID for Reducing Parity Write Wear on High-Density SSDs. | Jialin Liu, Yujiong Liang, Yunpeng Song, Liang Shi |
| 2024 | GCC: Optimizing Space Efficiency and Read Latency of SSDs with Workload-Aware Garbage Collection Aided Compression. | Linhui Liu, Yunfei Gu, Chenhao Zhu, Chentao Wu, Jie Li, Minyi Guo |
| 2024 | LCKV: Learner-Cleaner Optimized Adaptive Key-Value Separated LSM-Tree Store. | Mingxuan Liu, Jianhua Gu, Tianhai Zhao |
| 2024 | Integrating Branching and Pruning for Efficient Hyperdimensional Computing. | Jing Liu, Zhiqian Guan, Di Liu, Shengfa Miao, Fei Dai |
| 2024 | MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor. | Yuan Li, Renzhi Chen, Zhijie Yang, Xun Xiao, Jingyue Zhao, Zhenhua Zhu, Huadong Dai, Yuhua Tang, Weixia Xu, Li Luo, Lei Wang |
| 2024 | Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. | Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2024 | Optimizing Quantum Circuit Synthesis with Dominator Analysis. | Giacomo Lancellotti, Giovanni Agosta, Alessandro Barenghi, Gerardo Pelosi |
| 2024 | HeroSDK: Streamlining Heterogeneous RISC-V Accelerated Computing from Embedded to High-Performance Systems. | Cyril Koenig, Bjrn Forsberg, Luca Benini |
| 2024 | NexusCIM: High-Throughput Multi-CIM Array Architecture with C-Mesh NoC and Hub Cores. | Hyunmin Kim, Sungju Ryu |
| 2024 | Memristive Logic-in-Memory Implementation with Area Efficiency and Parallelism. | Ikkyum Kim, Heechun Park |
| 2024 | AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models. | Sungbin Kim, Hyunwuk Lee, Sungwoo Kim, Cheolhwan Kim, Won Woo Ro |
| 2024 | Interference-Aware DNN Serving on Heterogeneous Processors in Edge Systems. | Yeonjae Kim, Igjae Kim, Kwanghoon Choi, Jeongseob Ahn, Jongse Park, Jaehyuk Huh |
| 2024 | Dual-Axis ECC: Vertical and Horizontal Error Correction for Storage and Transfer Errors. | Giyong Jung, Hee Ju Na, Sang-Hyo Kim, Jungrae Kim |
| 2024 | Efficient Microprocessor Design Space Exploration via Space Partitioning. | Zijun Jiang, Yangdi Lyu |
| 2024 | PCCL: Energy-Efficient LLM Training with Power-Aware Collective Communication. | Ziyang Jia, Laxmi N. Bhuyan, Daniel Wong |
| 2024 | SuperMap: High-Performance and Flexible Memory-Mapped IO for Fast Storage Device. | Wenqing Jia, Dejun Jiang, Jin Xiong |
| 2024 | PCC: An End-to-End Compilation Framework for Neural Networks on Photonic-Electronic Accelerators. | Bohan Hu, Yinyi Liu, Zhenguo Liu, Wei Zhang, Jiang Xu |
| 2024 | Rethinking High-Level Synthesis Design Space Exploration from a Contrastive Perspective. | Huiliang Hong, Chenglong Xiao, Shanshan Wang |
| 2024 | Optimizing Structural Modification Operation for B+-Tree on Byte-Addressable Devices. | Dingze Hong, Jinlei Hu, Jianxi Chen, Dan Feng, Jian Liu |
| 2024 | OLSATM: Online Learning Based State-Aware Task Migration on S-NUCA Many-Cores. | Yandong He, Guangda Zhang, Yongjun Zhang, Hengzhu Liu, Renzhi Chen |
| 2024 | Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices. | Xueyuan Han, Zinuo Cai, Yichu Zhang, Chongxin Fan, Junhan Liu, Ruhui Ma, Rajkumar Buyya |
| 2024 | Transformer-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DTQN. | Wenbo Guan, Xiaoyan Tang, Hongliang Lu, Jingru Tan, Jinlong Wang, Yuming Zhang |