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IEEE Computer Architecture Letters, Volume 24
Volume 24, Number 1, January - June 2025
- Haseung Bong
, Nahyeon Kang
, Youngsok Kim
, Joonsung Kim
, Hanhwi Jang
:
IntervalSim++: Enhanced Interval Simulation for Unbalanced Processor Designs. 1-4 - Myoungjun Chun
, Jae Yong Lee
, Inhyuk Choi, Jisung Park, Myungsuk Kim, Jihong Kim
:
Straw: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs. 5-8 - Chaithanya Krishna Vadlamudi
, Bahar Asgari
:
Electra: Eliminating the Ineffectual Computations on Bitmap Compressed Matrices. 9-12 - Jiwon Lee
, Yunjae Lee
, Youngeun Kwon
, Minsoo Rhu
:
Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline. 13-16 - Sepehr Tabrizchi
, Mehrdad Morsali
, David Z. Pan
, Shaahin Angizi
, Arman Roohi
:
PINSim: A Processing In- and Near-Sensor Simulator to Model Intelligent Vision Sensors. 17-20 - M. Vardhana
, Rohan Pinto:
High-Performance Winograd Based Accelerator Architecture for Convolutional Neural Network. 21-24 - E. Kritheesh
, Biswabandan Panda
:
SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack. 25-28 - Houxiang Ji
, Minho Kim
, Seonmu Oh, Daehoon Kim
, Nam Sung Kim
:
Cooperative Memory Deduplication With Intel Data Streaming Accelerator. 29-32 - Woohyung Choi
, Jinwoo Jeong
, Hanhwi Jang
, Jeongseob Ahn
:
GPU-Centric Memory Tiering for LLM Serving With NVIDIA Grace Hopper Superchip. 33-36 - Jongho Baik
, Jonghyeon Kim
, Chang Hyun Park
, Jeongseob Ahn
:
Accelerating Page Migrations in Operating Systems With Intel DSA. 37-40 - Yunhyeong Jeon
, Minwoo Jang
, Hwanjun Lee
, Yeji Jung
, Jin Jung, Jonggeon Lee
, Jinin So
, Daehoon Kim
:
RoPIM: A Processing-in-Memory Architecture for Accelerating Rotary Positional Embedding in Transformer Models. 41-44 - Sudhanva Gurumurthi
, Mattan Erez:
Editorial: A Letter From the Editor-in-Chief of IEEE Computer Architecture Letters. iii-iv - Hyunwoo Nam
, Jay Hwan Lee
, Shinhyung Yang
, Yeonsoo Kim
, Jiun Jeong
, Jeong-Geun Kim
, Bernd Burgstaller
:
Comprehensive Design Space Exploration for Graph Neural Network Aggregation on GPUs. 45-48 - Yanghui Ou
, Hengrui Zhang
, Austin Rovinski
, David Wentzlaff, Christopher Batten
:
Optically Connected Multi-Stack HBM Modules for Large Language Model Training and Inference. 49-52 - Byeori Kim
, Changhun Lee
, Gwangsun Kim
, Eunhyeok Park
:
Cost-Effective Extension of DRAM-PIM for Group-Wise LLM Quantization. 53-56 - Qirong Xia, Houxiang Ji, Yang Zhou, Nam Sung Kim:
Hardware-Accelerated Kernel-Space Memory Compression Using Intel QAT. 57-60 - Pooya Aghanoury, Santosh Ghosh, Nader Sehatbakhsh:
Security Helper Chiplets: A New Paradigm for Secure Hardware Monitoring. 61-64 - Yuanmiao Lin, Shansen Fu, Xueming Li, Chaoming Yang, Rongfeng Li, Hongmin Huang, Xianghong Hu, Shuting Cai, Xiaoming Xiong:
A DSP-Based Precision-Scalable MAC With Hybrid Dataflow for Arbitrary-Basis-Quantization CNN Accelerator. 65-68 - Farshad Dizani, Azam Ghanbari, Joshua Kalyanapu, Darsh Asher, Samira Mirbagher Ajorpaz:
Thor: A Non-Speculative Value Dependent Timing Side Channel Attack Exploiting Intel AMX. 69-72 - Omer Khan:
A Data Prefetcher-Based 1000-Core RISC-V Processor for Efficient Processing of Graph Neural Networks. 73-76 - Zhenlong Ma, Ning Kang, Fan Yang, Chongyang Hong, Jing Xu, Guojun Yuan, Peiheng Zhang, Zhan Wang, Ninghui Sun:
Toward Scalable RDMA Through Resource Prefetching. 77-80 - Zhengpan Fei, Mingchuan Lyu, Satoshi Kawakami, Koji Inoue:
Data-Pattern-Driven LUT for Efficient In-Cache Computing in CNNs Acceleration. 81-84 - Taehun Kim, Yunjae Lee, Juntaek Lim, Minsoo Rhu:
A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit. 85-88 - Pawan Kumar Sanjaya, Christina Giannoula, Ian Colbert, Ihab Amer, Mehdi Saeedi, Gabor Sines, Nandita Vijaykumar:
DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees. 89-92 - Amin Mamandipoor, Huy Dinh Tran, Mohammad Alian:
SDT: Cutting Datacenter Tax Through Simultaneous Data-Delivery Threads. 93-96

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