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IEEE Micro, Volume 42
Volume 42, Number 1, January - February 2022
- Lizy Kurian John
:
Smart Agriculture and Smart Memories. 4-6 - Sudip Misra
Special Issue on Artificial Intelligence, Edge, and Internet of Things for Smart Agriculture. 6-7 - Debjani Ghosh
Soil Fertility Monitoring With Internet of Underground Things: A Survey. 8-16 - Faisal Karim Shaikh
Artificial Intelligence Best Practices in Smart Agriculture. 17-24 - Wei-Che Chien
UAV-Assisted Joint Wireless Power Transfer and Data Collection Mechanism for Sustainable Precision Agriculture in 5G. 25-32 - Prabhat Kumar
PEFL: Deep Privacy-Encoding-Based Federated Learning Framework for Smart Agriculture. 33-40 - Muhammad Adil
MHADBOR: AI-Enabled Administrative-Distance-Based Opportunistic Load Balancing Scheme for an Agriculture Internet of Things Network. 41-50 - Kaneez Fizza
Evaluating Sensor Data Quality in Internet of Things Smart Agriculture Applications. 51-60 - Xu Liu
Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture. 61-68 - Ranveer Chandra, Manohar Swaminathan
Democratizing Data-Driven Agriculture Using Affordable Hardware. 69-77 - Andrew D. Balmos
ISOBlue Avena: A Framework for Agricultural Edge Computing and Data Sovereignty. 78-86 - Reetuparna Das
Special Issue on In-Memory Computing. 87-88 - Jian Meng
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. 89-98 - Juhyoung Lee
ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor. 99-107 - Marzieh Lenjani
Supporting Moderate Data Dependency, Position Dependency, and Divergence in PIM-Based Accelerators. 108-115 - Liu Ke
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. 116-127 - Joshua J. Yi
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part II: Prosecution Time and Effective Patent Term Length. 128-136 - Shane Greenstein
Google and Apple Signed a Deal. 138-140
Volume 42, Number 2, March - April 2022
- Lizy Kurian John
Special Issue on Cool Chips and Hot Interconnects. 4-5 - Makoto Ikeda
Special Issue on Cool Chips. 6-7 - Zhenshan Bao, Guohang Fu, Wenbo Zhang
LSFQ: A Low-Bit Full Integer Quantization for High-Performance FPGA-Based CNN Acceleration. 8-15 - Donghyeon Han
A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity Exploitation. 16-25 - Mitsuhisa Sato
Co-Design and System for the Supercomputer "Fugaku". 26-34 - Sayan Ghosh
Special Issue on Hot Interconnects. 35-36 - Debendra Das Sharma
A Low-Latency and Low-Power Approach for Coherency and Memory Protocols on PCI Express 6.0 PHY at 64.0 GT/s With PAM-4 Signaling. 37-43 - Kartik Lakhotia
Accelerating Allreduce With In-Network Reduction on Intel PIUMA. 44-52 - Arpan Jain
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs. 53-60 - Cristóbal Camarero
Polarized Routing for Large Interconnection Networks. 61-67 - Yiltan Hassan Temuçin
Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives. 68-76 - Joshua J. Yi
Review of Patents Issued to Computer Architecture Companies in 2021 [Micro Law]. 77-84 - Shane Greenstein
Time for a Change in U.S. Antitrust for Technology? 86-88
Volume 42, Number 3, May - June 2022
- Lizy Kurian John
Hot Chips 33 and More! 4-5 - Alisa Scherer
Special Issue on Hot Chips 33. 6 - Mark Evers
The AMD Next-Generation "Zen 3" Core. 7-12 - Efraim Rotem
Intel Alder Lake CPU Architectures. 13-19 - Jin Hyun Kim
Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. 20-30 - Amlan Ganguly
Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion. 40-49 - German Maglione Mathey
Reducing the Impact of Interjob Interference in Dragonfly Networks Using Virtual Partitions. 50-56 - Fahrettin Koc
Can We Trust Undervolting in FPGA-Based Deep Learning Designs at Harsh Conditions? 57-65 - Joshua J. Yi
Review of Patents Issued to Computer Architecture Companies in 2021 - Part II. 67-77 - Michael Mattioli
Meet the FaM1ly. 78-84 - Shane Greenstein
Growth From Breadth and Depth. 86-88 - David R. Ditzel
Accelerating ML Recommendation With Over 1, 000 RISC-V/Tensor Processors on Esperanto's ET-SoC-1 Chip. 31-38
Volume 42, Number 4, July - August 2022
- Lizy Kurian John
Top Picks from 2021 Computer Architecture Conferences! 4-5 - Sudhanva Gurumurthi
Special Issue on Top Picks From the 2021 Computer Architecture Conferences. 6-9 - Pulkit A. Misra
Overclocking in Immersion-Cooled Datacenters. 10-17 - Parthasarathy Ranganathan, Daniel Stodolsky
Warehouse-Scale Video Acceleration. 18-26 - Yu Gan
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. 27-36 - Udit Gupta
Chasing Carbon: The Elusive Environmental Footprint of Computing. 37-47 - Axel Feldmann
An Architecture to Accelerate Computation on Encrypted Data. 59-68 - Michael B. Sullivan
Characterizing and Mitigating Soft Errors in GPU DRAM. 69-77 - Vasileios Tsoutsouras
The Laplace Microarchitecture for Tracking Data Uncertainty. 78-86 - Muhammad Huzaifa
ILLIXR: An Open Testbed to Enable Extended Reality Systems Research. 97-106 - Apostolos Kokolis
Distributed Data Persistency. 107-115 - Ajeya Naithani
Vector Runahead for Indirect Memory Accesses. 116-123 - Joshua J. Yi
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part III: Claims. 124-132 - Shane Greenstein
Inflation and Technology Markets. 134-136
Volume 42, Number 5, September - October 2022
- Lizy Kurian John
Automatic Compilation Will Be Key for Success of the Accelerator Revolution! 4-5 - Guido Araujo, Lucas Wanner:
Special Issue on Compiling for Accelerators. 6-8 - Hsin-I Cindy Liu
TinyIREE: An ML Execution Environment for Embedded Systems From Compilation to Deployment. 9-16 - Thien Nguyen
Retargetable Optimizing Compilers for Quantum Accelerators via a Multilevel Intermediate Representation. 17-33 - João P. L. de Carvalho
Compiling for the IBM Matrix Engine for Enterprise Workloads. 34-40 - Neil Adit
Performance Left on the Table: An Evaluation of Compiler Autovectorization for RISC-V. 41-48 - Nuno Neves
Compiling for Vector Extensions With Stream-Based Specialization. 49-58 - Jian Weng
Unifying Spatial Accelerator Compilation With Idiomatic and Modular Transformations. 59-69 - Joon Kyung Kim, Byung Hoon Ahn
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. 89-98 - Jean-Michel Gorius
SpecHLS: Speculative Accelerator Design Using High-Level Synthesis. 99-107 - Adel Ejjeh
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems. 108-117 - Joshua J. Yi
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part IV: Claims. 119-127 - Shane Greenstein
Archetypes of Risky Decisions. 130-132 - Kevin Angstadt
Synthesizing Legacy String Code for FPGAs Using Bounded Automata Learning. 70-77 - Nicolas Bohm Agostini
Bridging Python to Silicon: The SODA Toolchain. 78-88
Volume 42, Number 6, November - December 2022
- Lizy Kurian John
Artificial Intelligence at the Edge: Designs and Architectures for Pervasive Intelligence. 4-5 - Gabriel Falcão
Special Issue on Artificial Intelligence at the Edge. 6-8 - Sébastien Ollivier
Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge. 9-16 - Cecilia De la Parra
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. 17-24 - Geraldo F. Oliveira
Accelerating Neural Network Inference With Processing-in-DRAM: From the Edge to the Cloud. 25-38 - Mahadev Satyanarayanan
Accelerating Silent Witness Storage. 39-47 - Flavio Ponzina
A Hardware/Software Co-Design Vision for Deep Learning at the Edge. 48-54 - José L. Núñez-Yáñez:
Fused Architecture for Dense and Sparse Matrix Processing in TensorFlow Lite. 55-66 - Esteban Garzón
AIDA: Associative In-Memory Deep Learning Accelerator. 67-75 - Chuteng Zhou
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. 76-87 - Ali Safa
Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning. 88-95 - Hassan Nahas
Artificial-Intelligence-Enhanced Ultrasound Flow Imaging at the Edge. 96-106 - Aidin Shiri
Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. 107-114 - Lita Yang
Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications. 116-124 - Felix Jentzsch
RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. 125-133 - Joshua J. Yi
Analysis of Historical Patenting Behavior and Patent Characteristics of Computer Architecture Companies - Part V: References. 135-140 - Shane Greenstein
Distributed Discretion by the Slice. 142-144
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