OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Micro is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
NVIDIA A100 Tensor Core GPU: Performance and Innovation	121
Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs	118
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings	76
FerroElectronics for Edge Intelligence	46
The Design Process for Google's Training Chips: TPUv2 and TPUv3	45
PEFL: Deep Privacy-Encoding-Based Federated Learning Framework for Smart Agriculture	45
Accelerating Genome Analysis: A Primer on an Ongoing Journey	42
BlackParrot: An Agile Open-Source RISC-V Multicore for Accelerator SoCs	37
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications	36
Accelerating Chip Design With Machine Learning	31
PyMTL3: A Python Framework for Open-Source Hardware Modeling, Generation, Simulation, and Verification	30
MHADBOR: AI-Enabled Administrative-Distance-Based Opportunistic Load Balancing Scheme for an Agriculture Internet of Things Network	29
Chasing Carbon: The Elusive Environmental Footprint of Computing	29
A Cloud-Optimized Transport Protocol for Elastic and Scalable HPC	28
Kunpeng 920: The First 7-nm Chiplet-Based 64-Core ARM SoC for Cloud Services	28
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM	25
Manticore: A 4096-Core RISC-V Chiplet Architecture for Ultraefficient Floating-Point Computing	25
OpenFPGA: An Open-Source Framework for Agile Prototyping Customizable FPGAs	24
SymbiFlow and VPR: An Open-Source Design Flow for Commercial and Novel FPGAs	23
Evolution of the Graphics Processing Unit (GPU)	21
ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks	21