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IEEE Micro, Volume 43
Volume 43, Number 1, January - February 2023
- Lizy Kurian John:
Environmentally Sustainable Computing. 4-6 - Carole-Jean Wu:
Special Issue on Environmentally Sustainable Computing. 7-8 - Lieven Eeckhout:
Kaya for Computer Architects: Toward Sustainable Computer Systems. 9-18 - Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. 19-28 - Soumya Sudhakar, Vivienne Sze, Sertac Karaman:
Data Centers on Wheels: Emissions From Computing Onboard Autonomous Vehicles. 29-39 - Ryusuke Egawa, Yasutaka Wada:
Special Issue on Cool Chips. 40-41 - Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini:
TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology. 42-48 - Takuya Kojima, Hayate Okuhara, Masaaki Kondo, Hideharu Amano:
A Scalable Body Bias Optimization Method Toward Low-Power CGRAs. 49-57 - Deanna Postles Dunn Berger, Christian Jacobi, Craig R. Walters, Robert J. Sonnelitter, Mike Cadigan, Matthias Klein:
Enterprise-Class Multilevel Cache Design: Low Latency, Huge Capacity, and High Reliability. 58-66 - Yutaka Sugawara, Dong Chen, Ruud A. Haring, Abdullah Kayi, Eugene Ratzlaff, Robert M. Senger, Krishnan Sugavanam, Ralph Bellofatto, Ben J. Nathanson, Craig B. Stunkel:
Data Movement Accelerator Engines on a Prototype Power10 Processor. 67-75 - John Snyder, Alvin R. Lebeck, Danyang Zhuo:
RDMA Congestion Control: It Is Only for the Compliant. 76-82 - Joshua J. Yi:
Does Academic Research Drive Industrial Innovation in Computer Architecture? - Analyzing Citations to Academic Papers in Patents. 83-88 - Shane Greenstein:
The Modern Digital Operating Model. 90-92
Volume 43, Number 2, March - April 2023
- Lizy Kurian John:
Emerging System Interconnects Enabling More Opportunities Than Ever! 4-5 - John Kim, Nam Sung Kim:
Special Issue on Emerging System Interconnects. 6-8 - Debendra Das Sharma:
Novel Composable and Scaleout Architectures Using Compute Express Link. 9-19 - Kyungsan Kim, Hyunseok Kim, Jinin So, Wonjae Lee, Junhyuk Im, Sungjoo Park, Jeonghyeon Cho, Hoyoung Song:
SMT: Software-Defined Memory Tiering for Heterogeneous Computing Systems With CXL Memory Expander. 20-29 - Daniel S. Berger, Daniel Ernst, Huaicheng Li, Pantea Zardoshti, Monish Shah, Samir Rajadnya, Scott Lee, Lisa Hsu, Ishwar Agarwal, Mark D. Hill, Ricardo Bianchini:
Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms. 30-38 - Minho Ha, Junhee Ryu, Jungmin Choi, Kwangjin Ko, Sunwoong Kim, Sungwoo Hyun, Donguk Moon, Byungil Koh, Hokyoon Lee, Myoungseo Kim, Hoshik Kim, Kyoung Park:
Dynamic Capacity Service for Improving CXL Pooled Memory Efficiency. 39-47 - Donghyun Gouk, Miryeong Kwon, Hanyeoreum Bae, Sangwon Lee, Myoungsoo Jung:
Memory Pooling With CXL. 48-57 - David Boles, Daniel G. Waddington, David Andrew Roberts:
CXL-Enabled Enhanced Memory Functions. 58-65 - Miryeong Kwon, Junhyeok Jang, Hanjin Choi, Sangwon Lee, Myoungsoo Jung:
Failure Tolerant Training With Persistent Memory Disaggregation Over CXL. 66-75 - Debendra Das Sharma:
System on a Package Innovations With Universal Chiplet Interconnect Express (UCIe) Interconnect. 76-85 - Shiqing Zhang, Ziyue Zhang, Mahmood Naderan-Tahan, Hossein SeyyedAghaei, Xin Wang, He Li, Senbiao Qin, Didier Colle, Guy Torfs, Mario Pickavet, Johan Bauwelinck, Günther Roelkens, Lieven Eeckhout:
Photonic Network-on-Wafer for Multichiplet GPUs. 86-95 - Scott Levy:
Special Issue on Hot Interconnects 29. 97-98 - Debendra Das Sharma:
Compute Express Link (CXL): Enabling Heterogeneous Data-Centric Computing With Heterogeneous Memory Hierarchy. 99-109 - Yao Xin, Wenjun Li, Gaogang Xie, Yang Xu, Yi Wang:
A Parallel and Updatable Architecture for FPGA-Based Packet Classification With Large-Scale Rule Sets. 110-119 - Kaushik Kandadi Suresh, Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries. 131-139 - Shane Greenstein:
Butterfly Effects and Legacies. 142-144 - Alberto Cascajo, Gabriel Gomez-Lopez, Jesús Escudero-Sahuquillo, Pedro Javier García, David E. Singh, Francisco J. Alfaro-Cortés, Francisco J. Quiles, Jesús Carretero:
Monitoring InfiniBand Networks to React Efficiently to Congestion. 120-130
Volume 43, Number 3, May - June 2023
- Lizy Kurian John:
Hot Chips 34 and More! 4-6 - Ron Diamant, Krste Asanovic:
Special Issue on Hot Chips 34. 7-8 - Jack Choquette:
NVIDIA Hopper H100 GPU: Scaling Performance. 9-17 - Sean Lie:
Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning. 18-30 - Emil Talpes, Debjit Das Sarma, Douglas Williams, Sahil Arora, Thomas Kunjan, Benjamin Floering, Ankit Jalote, Christopher Hsiong, Chandrasekhar Poorna, Vaidehi Samant, John Sicilia, Anantha Kumar Nivarti, Raghuvir Ramachandran, Tim C. Fischer, Ben Herzberg, Bill McGee, Ganesh Venkataramanan, Pete Banon:
The Microarchitecture of DOJO, Tesla's Exa-Scale Computer. 31-39 - Jaideep Dastidar, David Riddoch, Jason Moore, Steven Pope, Jim Wesselkamper:
The AMD 400-G Adaptive SmartNIC System on Chip: A Technology Preview. 40-49 - Richard Grisenthwaite, Graeme Barnes, Robert N. M. Watson, Simon W. Moore, Peter Sewell, Jonathan Woodruff:
The Arm Morello Evaluation Platform - Validating CHERI-Based Security in a High-Performance System. 50-57 - Martin Snelgrove, Robert Beachler:
speedAI240: A 2-Petaflop, 30-Teraflops/W At-Memory Inference Acceleration Device With 1456 RISC-V Cores. 58-63 - Karthik Sriram, Ioannis Karageorgos, Xiayuan Wen, Ján Veselý, Nick Lindsay, Michael Wu, Lenny Khazan, Raghavendra Pradyumna Pothukuchi, Rajit Manohar, Abhishek Bhattacharjee:
HALO: A Hardware-Software Co-Designed Processor for Brain-Computer Interfaces. 64-72 - Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. 74-82 - Shane Greenstein:
Bank Runs Without the Wisdom of the Crowds. 86-88
Volume 43, Number 4, July - August 2023
- Lizy Kurian John:
Top Picks From Computer Architecture Conferences! 4-5 - Christopher Batten, Jae W. Lee:
Special Issue on Top Picks From the 2022 Computer Architecture Conferences. 6-10 - Joseph Ravichandran, Weon Taek Na, Jay Lang, Mengjia Yan:
PACMAN: Attacking ARM Pointer Authentication With Speculative Execution. 11-18 - Yingchen Wang, Riccardo Paccagnella, Elizabeth Tang He, Hovav Shacham, Christopher W. Fletcher, David Kohlbrenner:
Hertzbleed: Turning Power Side-Channel Attacks Into Remote Timing Attacks on x86. 19-27 - Jack Cook, Jules Drean, Jonathan Behrens, Mengjia Yan:
There's Always a Bigger Fish: A Clarifying Analysis of a Machine-Learning-Assisted Side-Channel Attack. 28-36 - Oleksii Oleksenko, Christof Fetzer, Boris Köpf, Mark Silberstein:
Revizor: Testing Black-Box CPUs Against Speculation Contracts. 37-44 - Ishan Shah, Akanksha Jain, Calvin Lin:
Effective Mimicry of Bélády's MIN Policy. 45-52 - Evgeny Manzhosov, Adam Hastings, Meghna Pancholi, Ryan Piersma, Mohamed Tarek Ibn Ziad, Simha Sethumadhavan:
Revisiting Residue Codes for Modern Memories. 53-61 - Nicolai Oswald, Vijay Nagarajan, Daniel J. Sorin, Vasilis Gavrielatos, Theo X. Olausson, Reece Carr:
HeteroGen: Automatic Synthesis of Heterogeneous Cache Coherence Protocols. 62-70 - Yuxuan Zhang, Tanvir Ahmed Khan, Gilles Pokam, Baris Kasikci, Heiner Litz, Joseph Devietti:
Online Code Layout Optimizations via OCOLOS. 71-79 - Tejun Heo, Dan Schatzberg, Andrew Newell, Song Liu, Saravanan Dhakshinamurthy, Iyswarya Narayanan, Josef Bacik, Chris Mason, Chunqiang Tang, Dimitrios Skarlatos:
IOCost: Block Input-Output Control for Containers in Datacenters. 80-87 - Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin:
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. 88-97 - Yinan Xu, Zihao Yu, Dan Tang, Ye Cai, Dandan Huan, Wei He, Ninghui Sun, Yungang Bao:
Toward Developing High-Performance RISC-V Processors Using Agile Methodology. 98-106 - Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu:
Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool. 107-117 - Joshua J. Yi:
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part VI: Relationship Between Prosecution Time and Claims. 119-123
Volume 43, Number 5, September - October 2023
- Lizy Kurian John:
Hardware Security and Privacy: Threats and Opportunities. 4-5 - Guru Venkataramani:
Special Issue on Security and Privacy-Preserving Execution Environments. 6-7 - Md Hafizul Islam Chowdhuryy, Rickard Ewetz, Amro Awad, Fan Yao:
Understanding and Characterizing Side Channels Exploiting Phase-Change Memories. 8-15 - Naveed Ul Mustafa, Yan Solihin:
Persistent Memory Security Threats to Interprocess Isolation. 16-23 - Kyle Thomas, Muhammad Santriaji, David Mohaisen, Yan Solihin:
Exploration of Bitflip's Effect on Deep Neural Network Accuracy in Plaintext and Ciphertext. 24-34 - Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Behnam Omidi, Setareh Rafatirad, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun:
Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. 35-44 - Sarabjeet Singh, Xiong Fan, Ananth Krishna Prasad, Lin Jia, Anirban Nag, Rajeev Balasubramonian, Mahdi Nazm Bojnordi, Elaine Shi:
XCRYPT: Accelerating Lattice-Based Cryptography With Memristor Crossbar Arrays. 45-54 - Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. 55-63 - Animesh Basak Chowdhury, Anushree Mahapatra, Yang Liu, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri:
A Golden-Free Approach to Detect Trojans in COTS Multi-PCB Systems. 64-76 - Sriram Aananthakrishnan, Shamsul Abedin, Vincent Cavé, Fabio Checconi, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Wim Heirman, Jason Howard, Ibrahim Hur, Samkit Jain, Marek M. Landowski, Kevin Ma, Jarrod A. Nelson, Robert Pawlowski, Fabrizio Petrini, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche:
The Intel Programmable and Integrated Unified Memory Architecture Graph Analytics Processor. 78-87 - Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yunfeng Shi, Xin Long, Linquan Jiang, Shuangchen Li, Yuan Xie, Changzheng Wei, Yuan Zhao, Ying Yan, Hui Zhang, Yinchao Zou:
E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption. 88-96 - Shane Greenstein:
Interview With Ronnie Chatterji, Coordinator for the Creating Helpful Incentives to Produce Semiconductors and Science Act. 98-100
Volume 43, Number 6, November - December 2023
- Lizy Kurian John:
TinyML but by No Means a Tiny Feat! 4-6 - Vijay Janapa Reddi, Boris Murmann:
Special Issue on TinyML. 7-10 - Marius Brehler, Lucas Camphausen, Benjamin Heidebroek, Dennis Krön, Henri Gründer, Simon Camphausen:
Making Machine Learning More Energy Efficient by Bringing It Closer to the Sensor. 11-18 - Atsutake Kosuge, Yao-Chung Hsu, Rei Sumikawa, Mototsugu Hamada, Tadahiro Kuroda, Tomoe Ishikawa:
A 10.7-µJ/Frame 88% Accuracy CIFAR-10 Single-Chip Neuromorphic Field-Programmable Gate Array Processor Featuring Various Nonlinear Functions of Dendrites in the Human Cerebrum. 19-27 - Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. 40-49 - Manuele Rusci, Tinne Tuytelaars:
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples. 50-57 - Eduardo S. Pereira, Leonardo S. Marcondes, Josemar M. Silva:
On-Device Tiny Machine Learning for Anomaly Detection Based on the Extreme Values Theory. 58-65 - Kazuki Sunaga, Masaaki Kondo, Hiroki Matsutani:
Addressing the Gap Between Training Data and Deployed Environment by On-Device Learning. 66-73 - Arnab Neelim Mazumder, Tinoosh Mohsenin:
Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms. 74-83 - Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin:
NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation. 84-92 - Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov:
Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. 93-101 - Joshua J. Yi:
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part VII: Relationship Between Prosecution Time and Claims. 103-108 - Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah:
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. 109-124 - Shane Greenstein:
The AI Gold Rush. 126-128
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