Author's Latest Posts


How Attackers Can Read Data From CPU’s Memory By Analyzing Energy Consumption


A technical paper titled “Collide+Power: Leaking Inaccessible Data with Software-based Power Side Channels” was published by researchers at Graz University of Technology and CISPA Helmholtz Center for Information Security. Abstract: "Differential Power Analysis (DPA) measures single-bit differences between data values used in computer systems by statistical analysis of power traces. In th... » read more

Embedded GPU for FPGA, Achieving Over 770 MHz Operating Frequency With Unconstrained Compile


A technical paper titled “eGPU: A 750 MHz Class Soft GPGPU for FPGA” was published by researchers at Intel Corporation and Imperial College London. Abstract: "This paper introduces the eGPU, a SIMT soft processor designed for FPGAs. Soft processors typically achieve modest operating frequencies, a fraction of the headline performance claimed by modern FPGA families, and obtain correspondi... » read more

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits


A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich. Abstract: "Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural network circui... » read more

A Safety Island For Safe Use of HPC Devices For Safety-Critical Systems with RISC-V


A technical paper titled “Envisioning a Safety Island to Enable HPC Devices in Safety-Critical Domains” was published by researchers at Barcelona Supercomputing Center and Intel. Abstract: "HPC (High Performance Computing) devices increasingly become the only alternative to deliver the performance needed in safety-critical autonomous systems (e.g., autonomous cars, unmanned planes) du... » read more

How Band Nesting Can Achieve Near-Perfect Optical Absorption In Just Two Layers Of TMD Materials


A technical paper titled “Achieving near-perfect light absorption in atomically thin transition metal dichalcogenides through band nesting” was published by researchers at University of Minnesota, University of Notre Dame, and Korea Advanced Institute of Science and Technology (KAIST). Abstract: "Near-perfect light absorbers (NPLAs), with absorbance, λ, of at least 99%, have a wide ... » read more

Programmable HW Accelerators For BGV Fully Homomorphic Encryption In The Cloud


A technical paper titled “BASALISC: Programmable Hardware Accelerator for BGV Fully Homomorphic Encryption” was published by researchers at COSIC KU Leuven, Galois Inc., and Niobium Microsystems. Abstract: "Fully Homomorphic Encryption (FHE) allows for secure computation on encrypted data. Unfortunately, huge memory size, computational cost and bandwidth requirements limit its practic... » read more

Performance Enhancement Of An Si Photodetector By Incorporating Photon-Trapping Surface Structures


A technical paper titled “Achieving higher photoabsorption than group III-V semiconductors in ultrafast thin silicon photodetectors with integrated photon-trapping surface structures” was published by researchers at University of California Davis, W&WSens Devices Inc., and University of California Santa Cruz. Abstract: "The photosensitivity of silicon is inherently very low in the vis... » read more

Demonstrating The Strong Superconducting Diode Effect In Conventional SC Thin films


A technical paper titled “Ubiquitous Superconducting Diode Effect in Superconductor Thin Films” was published by researchers at Massachusetts Institute of Technology (MIT), IBM Research Europe, U.S. Army DEVCOM Army Research Laboratory, Centro de Física de Materiales (CFM-MPC), Hanford High School, Vestavia Hills High School, Donostia International Physics Center (DIPC), Condensed Matter ... » read more

CNN Hardware Architecture With Weights Generator Module That Alleviates Impact Of The Memory Wall


A technical paper titled “Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation” was published by researchers at Samsung AI Center and University of Cambridge. Abstract: "The unprecedented accuracy of convolutional neural networks (CNNs) across a broad range of AI tasks has led to their widespread deployment in mobile and embedded settings. In a pursuit for high... » read more

Impact of Clustering Methods On Partitioning Decisions For 3DICs (imec, Université libre de Bruxelles)


A technical paper titled “Impact of gate-level clustering on automated system partitioning of 3D-ICs” was published by researchers at Université libre de Bruxelles and imec. Abstract: "When partitioning gate-level netlists using graphs, it is beneficial to cluster gates to reduce the order of the graph and preserve some characteristics of the circuit that the partitioning might degrade. ... » read more

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