Author's Latest Posts


Latest Discoveries in the Mechanics of 2D Materials


A new technical paper titled "Recent advances in the mechanics of 2D materials" was published by researchers at McGill University, University of Science and Technology of China, and University of Illinois. "We review significant advances in the understanding of the elastic properties, in-plane failures, fatigue performance, interfacial shear/friction, and adhesion behavior of 2D materials. I... » read more

ALD-Oxide Semiconductors: Summary, Benefits And Challenges


A technical paper titled "Atomic layer deposition for nanoscale oxide semiconductor thin film transistors: review and outlook" was published by researchers at Hanyang University. "In this review, to introduce ALD-oxide semiconductors, we provide: (a) a brief summary of the history and importance of ALD-based oxide semiconductors in industry, (b) a discussion of the benefits of ALD for oxide... » read more

Impact of Semiconductor Optical Amplifers On Performance & Power Consumption in Data Centers (UCSB)


A new technical paper titled "Integrated SOAs enable energy-efficient intra-data center coherent links" was published by researchers at UC Santa Barbara. "In this work, we analyze the impact of integrated semiconductor optical amplifiers (SOAs) on link performance and power consumption, and describe the optimal design spaces for low-cost and energy-efficient coherent links. Placing SOAs afte... » read more

Memory Disaggregation Research And Making It Practical With Hardware Trends (U. of Michigan)


A new technical paper titled "Memory Disaggregation: Advances and Open Challenges" was published by researchers at University of Michigan. Abstract "Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleet-wide resource underutilization and increasing Total Cost of Owners... » read more

Optimizing Projected PCM for Analog Computing-In-Memory Inferencing (IBM)


A new technical paper titled "Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference" was published by researchers at IBM Research. "A systematic study of the electrical properties-including resistance values, memory window, resistance drift, read noise, and their impact on the accuracy of large neural networks of various types and with tens of millions of wei... » read more

Solving Memory Mapping Issues with Deep RL (Google)


A technical paper titled "Optimizing Memory Mapping Using Deep Reinforcement Learning" was published by Google DeepMind and Google. Abstract: "Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red... » read more

EV Charging Hardware Attacks


A technical paper titled "ChargeX: Exploring State Switching Attack on Electric Vehicle Charging Systems" was published by researchers at Michigan State University, Washington University in St. Louis, and Texas A&M University. Abstract: "Electric Vehicle (EV) has become one of the promising solutions to the ever-evolving environmental and energy crisis. The key to the wide adoption of E... » read more

Non-Traditional Design of Dynamic Logic Gates and Circuits with FDSOI FETs


A new technical paper titled "Non-Traditional Design of Dynamic Logics using FDSOI for Ultra-Efficient Computing" was published by researchers at University of Stuttgart, UC Berkeley, Indian Institute of Technology Kanpur, and TU Munich, with funding by the German Research Foundation. Abstract "In this paper, we propose a non-traditional design of dynamic logic circuits using Fully-Deplet... » read more

RL-Guided Detailed Routing Framework for Advanced Custom Circuits


A technical paper titled "Reinforcement Learning Guided Detailed Routing for Custom Circuits" was published by researchers at UT Austin, Princeton University, and NVIDIA. "This paper presents a novel detailed routing framework for custom circuits that leverages deep reinforcement learning to optimize routing patterns while considering custom routing constraints and industrial design rules. C... » read more

Cross-Shaped Reconfigurable Transistor (CS-RFET) With Flexible Signal Routing


A new technical paper titled "Cross-Shape Reconfigurable Field Effect Transistor for Flexible Signal Routing" was published by researchers at NaMLab gGmbH, École Centrale de Lyon, and TU Dresden. "A detailed comprehensive study of the cross-shape reconfigurable field effect transistor electrical characteristics are presented. The fabricated device demonstrates nearly equal transistor charac... » read more

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