category: Architectures

category: IoT, Security & Automotive

Low-Power Heterogeneous Compute Cluster For TinyML DNN Inference And On-Chip Training
By Technical Paper Link - 09 Apr, 2023 - Comments: 0

A new technical paper titled "DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training" was published by researchers at University of Bologna and ETH Zurich. Abstract "On-chip deep neural network (DNN) inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy, and flexibility requirements. Heterogeneous clus... » read more

Google’s TPU v4 Architecture: 3 Major Features
By Technical Paper Link - 07 Apr, 2023 - Comments: 0

A new technical paper titled "TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings" was published by researchers at Google. Abstract: "In response to innovations in machine learning (ML) models, production workloads changed radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its third supercomputer f... » read more

Neuromorphic Computing: Self-Adapting HW With ReRAMs
By Technical Paper Link - 03 Apr, 2023 - Comments: 0

A new technical paper titled "A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing" was published by researchers at Infineon Technologies, Politecnico di Milano and IUNET, Weebit Nano, and CEA Leti. Abstract "Neurobiological systems continually interact with the surrounding environment to refine their behaviour toward the best possible reward. Achie... » read more

Hardware Based Monitoring For Zero Trust Environments
By Technical Paper Link - 26 Mar, 2023 - Comments: 0

A technical paper titled "Towards Hardware-Based Application Fingerprinting with Microarchitectural Signals for Zero Trust Environments" was published by the Air Force Institute of Technology. Abstract "The interactions between software and hardware are increasingly important to computer system security. This research collects sequences of microprocessor control signals to develop machine ... » read more

Feasibility of Using Domain Wall-Magnetic Tunnel Junction for Magnetic Analog Addressable Memories
By Technical Paper Link - 23 Mar, 2023 - Comments: 0

A new technical paper titled "Domain Wall-Magnetic Tunnel Junction Analog Content Addressable Memory Using Current and Projected Data" was published by researchers at UT Austin and Samsung Advanced Institute of Technology (SAIT). Abstract "With the rise in in-memory computing architectures to reduce the compute-memory bottleneck, a new bottleneck is present between analog and digital conver... » read more

Solving The Reliability Problem Of Memristor-Based Artificial Neural Networks
By Technical Paper Link - 19 Mar, 2023 - Comments: 0

A technical paper titled "ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation" was published by researchers at Eindhoven University of Technology, University of Tehran, and USC. Abstract: "Memristor-based in-memory neuromorphic computing systems promise a highly efficient implementation of vector-matrix multiplications, commonly used in artificial neural networks (ANNs). H... » read more

Shift Register-In-Memory Architecture
By Technical Paper Link - 19 Mar, 2023 - Comments: 0

A new technical paper titled "Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials" was published by researchers at Singapore University of Technology and Design and University of Cambridge. Abstract "Modern innovations are built on the foundation of computers. Compared to von Neumann architectures having separate storage and processing uni... » read more

Reducing The Cost of Cache Coherence By Integrating HW Coherence Protocol Directly With The Programming Language
By Technical Paper Link - 19 Mar, 2023 - Comments: 0

A new technical paper titled "WARDen: Specializing Cache Coherence for High-Level Parallel Languages" was published by researchers at Northwestern University and Carnegie Mellon University. Abstract: "High-level parallel languages (HLPLs) make it easier to write correct parallel programs. Disciplined memory usage in these languages enables new optimizations for hardware bottlenecks, such ... » read more

FPGA-based Infrastructure, With RISC-V Prototype, to Enable Implementation & Evaluation of Cross-Layer Techniques in Real HW (Best Paper Award)
By Technical Paper Link - 15 Mar, 2023 - Comments: 0

A technical paper titled "MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations" was published by researchers at University of Toronto, ETH Zurich, and Carnegie Mellon University. This paper won the Best Paper Award at the HiPEAC 2023 conference. Abstract: "This paper introduces the first open-source FPGA-based infrastructure, MetaSy... » read more

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)
By Technical Paper Link - 15 Mar, 2023 - Comments: 0

A recent technical paper titled "TAG: Learning Circuit Spatial Embedding From Layouts" was published by researchers at UT Austin and NVIDIA. Abstract "Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning has been assisting circuit design automation by replacing human experience with artificial intelligence. This paper presents TAG, a new parad... » read more

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