category: Power & Performance

category: IoT, Security & Automotive

Hardware Acceleration Approach for KAN Via Algorithm-Hardware Co-Design
By Technical Paper Link - 26 Sep, 2024 - Comments: 2

A new technical paper titled "Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference" was published by researchers at Georgia Tech, TSMC and National Tsing Hua University. Abstract "Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using ... » read more

Flexible IGZO RISC-V Microprocessor
By Technical Paper Link - 26 Sep, 2024 - Comments: 0

A new technical paper titled "Bendable non-silicon RISC-V microprocessor" was published by researchers at Pragmatic Semiconductor, Qamcom,  and Harvard University. From the abstract: "Here we present Flex-RV, a 32-bit microprocessor based on an open RISC-V instruction set fabricated with indium gallium zinc oxide thin-film transistors on a flexible polyimide substrate, enabling an ultralow... » read more

Improving The Air-Stability and NBTI Reliability of BEOL CNFETs
By Technical Paper Link - 19 Sep, 2024 - Comments: 0

A new technical paper titled "Overcoming Ambient Drift and Negative-Bias Temperature Instability in Foundry Carbon Nanotube Transistors" was published by researchers at MIT, Stanford University, Carnegie Mellon University and Analog Devices. Abstract: "Back-end-of-line (BEOL) logic integration is emerging as a complementary scaling path to supplement front-end-of-line (FEOL) Silicon. Among ... » read more

Mixed Signal In-Memory Computing With Massively Parallel Gradient Calculations of High-Degree Polynomials
By Technical Paper Link - 19 Sep, 2024 - Comments: 0

A new technical paper titled "Computing high-degree polynomial gradients in memory" was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract "Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Isi... » read more

Better Security and Power Efficiency of Ascon HW Implementation with STT-MRAM (CEA, et al.)
By Technical Paper Link - 18 Sep, 2024 - Comments: 0

A new technical paper titled "Enhancing Security and Power Efficiency of Ascon Hardware Implementation with STT-MRAM" was published by researchers at CEA, Leti, Université Grenoble Alpes, CNRS, and Spintec. Abstract "With the outstanding growth of Internet of Things (IoT) devices, security and power efficiency of integrated circuits can no longer be overlooked. Current approved standards f... » read more

3D IC Partitioning and Placement Method That Optimizes For Critical Paths (POSTECH)
By Technical Paper Link - 12 Sep, 2024 - Comments: 0

A new technical paper titled "TA3D: Timing-Aware 3D IC Partitioning and Placement by Optimizing the Critical Path" was published by researchers at Pohang University of Science and Technology and Baum Design Systems. Abstract "In the face of challenges posed by semiconductor scaling, 3D integration technology has emerged as a crucial solution to overcome the constraints of traditional 2D I... » read more

Hardware-Side-Channel Leakage Contracts That Account For Glitches and Transitions (TU Graz)
By Technical Paper Link - 10 Sep, 2024 - Comments: 0

A new technical paper titled "Closing the Gap: Leakage Contracts for Processors with Transitions and Glitches" was published by researchers at Graz University of Technology. Abstract "Security verification of masked software implementations of cryptographic algorithms must account for microarchitectural side-effects of CPUs. Leakage contracts were proposed to provide a formal separation bet... » read more

Analog In-Memory Computing: Fast Deep NN Training (IBM Research)
By Technical Paper Link - 10 Sep, 2024 - Comments: 0

A new technical paper titled "Fast and robust analog in-memory deep neural network training" was published by researchers at IBM Research. Abstract "Analog in-memory computing is a promising future technology for efficiently accelerating deep learning networks. While using in-memory computing to accelerate the inference phase has been studied extensively, accelerating the training phase has... » read more

Fano Resonance in a Si PIC Using a Piezoelectrically Driven Mechanism (Ghent, imec)
By Technical Paper Link - 06 Sep, 2024 - Comments: 0

A new technical paper titled "Piezoelectrically driven Fano resonance in silicon photonics" was published by researchers at Ghent University and imec. Abstract "Piezoelectric optomechanical platforms provide a promising avenue for efficient signal transduction between microwave and optical domains. Lead zirconate titanate (PZT) thin film stands out as a compelling choice for building such... » read more

Microfluidic Cooling Design For Hotspots in Thermal Design Power Chips (Corintis)
By Technical Paper Link - 04 Sep, 2024 - Comments: 0

A new technical paper titled "Glacierware: Hotspot-aware Microfluidic Cooling for High TDP Chips using Topology Optimization" was published by researchers at Corintis. Abstract: "The continuous increase in computational power of GPUs, essential for advancements in areas like artificial intelligence and data processing, is driving the adoption of liquid cooling in data centers. Skived copper... » read more

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