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ORCIDIEEE Computer Architecture Letters, Volume 20
Volume 20, Number 1, January - June 2021
- Hyoukjun Kwon
, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. 1-4 - Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn:
TRiM: Tensor Reduction in Memory. 5-8 - Nirmal Kumar Boran, Shubhankit Rathore, Meet Udeshi, Virendra Singh:
Fine-Grained Scheduling in Heterogeneous-ISA Architectures. 9-12 - Salonik Resch, Swamit S. Tannu, Ulya R. Karpuzcu, Moinuddin K. Qureshi:
A Day In the Life of a Quantum Error. 13-16 - Mohsin Shan, Omer Khan:
Accelerating Concurrent Priority Scheduling Using Adaptive in-Hardware Task Distribution in Multicores. 17-21 - Arthur Perais:
A Case for Speculative Strength Reduction. 22-25 - Marta Navarro, Lucia Pons, Julio Sahuquillo:
Hy-Sched: A Simple Hyperthreading-Aware Thread to Core Allocation Strategy. 26-29 - Mohammad Alian, Jongmin Shin, Ki-Dong Kang, Ren Wang, Alexandros Daglis, Daehoon Kim, Nam Sung Kim:
IDIO: Orchestrating Inbound Network Data on Server Processors. 30-33 - Hweesoo Kim, Sunjung Lee, Jaewan Choi, Jung Ho Ahn:
Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure. 34-37 - Hans Kasan, John Kim:
The Case for Dynamic Bias in Global Adaptive Routing. 38-41 - Parth Shah, Ranjal Gautham Shenoy, Vaidyanathan Srinivasan, Pradip Bose, Alper Buyuktosunoglu:
TokenSmart: Distributed, Scalable Power Management in the Many-Core Era. 42-45 - Qian Li, Bin Li, Pietro Mercati, Ramesh Illikkal, Charlie Tai, Michael Kishinevsky, Christos Kozyrakis:
RAMBO: Resource Allocation for Microservices Using Bayesian Optimization. 46-49 - Sunghwan Kim, Gyusun Lee, Jiwon Woo, Jinkyu Jeong:
Zero-Copying I/O Stack for Low-Latency SSDs. 50-53 - Chao Yu, Sihang Liu, Samira Manabi Khan:
MultiPIM: A Detailed and Configurable Multi-Stack Processing-In-Memory Simulator. 54-57 - Tian Tan, Eriko Nurvitadhi, Aravind Dasu, Martin Langhammer, Derek Chiou:
FlexScore: Quantifying Flexibility. 58-61 - Arindam Sarkar, Newton Singh, Varun Venkitaraman, Virendra Singh:
DAM: Deadblock Aware Migration Techniques for STT-RAM-Based Hybrid Caches. 62-65 - Han Li, Mingyu Yan, Xiaocheng Yang, Lei Deng, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Hardware Acceleration for GCNs via Bidirectional Fusion. 66-69 - Yongjoo Jang, Sejin Kim, Daehoon Kim, Sungjin Lee, Jaeha Kung:
Deep Partitioned Training From Near-Storage Computing to DNN Accelerators. 70-73 - Salonik Resch, M. Hüsrev Cilasun, Ulya R. Karpuzcu:
Cryogenic PIM: Challenges & Opportunities. 74-77 - Wim Heirman, Stijn Eyerman, Kristof Du Bois, Ibrahim Hur:
RIO: ROB-Centric In-Order Modeling of Out-of-Order Processors. 78-81
Volume 20, Number 2, July - December 2021
- Aporva Amarnath, Subhankar Pal, Hiwot Tadese Kassa, Augusto Vega, Alper Buyuktosunoglu, Hubertus Franke, John-David Wellman, Ronald Dreslinski Jr., Pradip Bose:
Heterogeneity-Aware Scheduling on SoCs for Autonomous Vehicles. 82-85 - Lei Wang, Xingwang Xiong, Jianfeng Zhan, Wanling Gao, Xu Wen, Guoxin Kang, Fei Tang:
WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture. 86-89 - Stijn Eyerman, Wim Heirman, Ibrahim Hur:
Modeling DRAM Timing in Parallel Simulators With Immediate-Response Memory Model. 90-93 - Hajar Falahati, Masoud Peyro, Hossein Amini, Mehran Taghian, Mohammad Sadrosadati, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
Data-Aware Compression of Neural Networks. 94-97 - Benjamin Wu, Trishita Tiwari, G. Edward Suh, Aaron B. Wagner:
Guessing Outputs of Dynamically Pruned CNNs Using Memory Access Patterns. 98-101 - Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. 102-105 - Bongjoon Hyun, Jiwon Lee, Minsoo Rhu:
Characterization and Analysis of Deep Learning for 3D Point Cloud Analytics. 106-109 - Alexander Rucker, Muhammad Shahbaz, Kunle Olukotun:
Chopping off the Tail: Bounded Non-Determinism for Real-Time Accelerators. 110-113 - Jiya Su, Linfeng He, Peng Jiang, Rujia Wang:
Exploring PIM Architecture for High-Performance Graph Pattern Mining. 114-117 - Yunjae Lee, Youngeun Kwon, Minsoo Rhu:
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. 118-121 - Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. 122-125 - Nima Shoghi, Andrei Bersatti, Moinuddin K. Qureshi, Hyesoon Kim:
SmaQ: Smart Quantization for DNN Training by Exploiting Value Clustering. 126-129 - Haris Volos:
The Case for Replication-Aware Memory-Error Protection in Disaggregated Memory. 130-133 - Truls Asheim, Boris Grot, Rakesh Kumar:
BTB-X: A Storage-Effective BTB Organization. 134-137 - Pratik Kumar, Chavhan Sujeet Yashavant, Biswabandan Panda:
DAMARU: A Denial-of-Service Attack on Randomized Last-Level Caches. 138-141 - Fatemeh Ghasemi, Magnus Jahre:
Modeling Periodic Energy-Harvesting Computing Systems. 142-145 - Neelu Shivprakash Kalani, Biswabandan Panda:
Instruction Criticality Based Energy-Efficient Hardware Data Prefetching. 146-149 - Jiho Kim, Myoungsoo Jung, John Kim:
Decoupled SSD: Reducing Data Movement on NAND-Based Flash SSD. 150-153 - Hyeon Gyu Lee, Minwook Kim, Juwon Lee, Eunji Lee, Bryan S. Kim, Sungjin Lee, Yeseong Kim, Sang Lyul Min, Jin-Soo Kim:
Learned Performance Model for SSD. 154-157 - Sudhanva Gurumurthi, Kijun Lee, Munseon Jang, Vilas Sridharan, Aaron Nygren, Yesin Ryu, Kyomin Sohn, Taekyun Kim, Hoeju Chung:
HBM3 RAS: Enhancing Resilience at Scale. 158-161 - Pavlos Aimoniotis, Christos Sakalis, Magnus Själander, Stefanos Kaxiras:
Reorder Buffer Contention: A Forward Speculative Interference Attack for Speculation Invariant Instructions. 162-165 - Seyed Morteza Nabavinejad, Sherief Reda:
BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection. 166-170 - Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim:
Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. 171-174 - Wenjie Liu, Wim Heirman, Stijn Eyerman, Shoaib Akram, Lieven Eeckhout:
Scale-Model Simulation. 175-178
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