3D-IC: Operator Learning Framework For Ultra-Fast 3D Chip Thermal Prediction Under Multiple Chip Design Configurations


A new technical paper titled "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design" was published (preprint) by researchers at UCSB and Cadence. Abstract "Thermal issue is a major concern in 3D integrated circuit (IC) design. Thermal optimization of 3D IC often requires massive expensive PDE simulations. Neural network-based thermal prediction models can perform ... » read more

Feasibility of Using Domain Wall-Magnetic Tunnel Junction for Magnetic Analog Addressable Memories


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


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

Reducing The Cost of Cache Coherence By Integrating HW Coherence Protocol Directly With The Programming Language


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

Evaluation of the Thermomechanical Reliability of Electronic Packages Using Virtual Prototyping


A new technical paper titled "Design Optimization by Virtual Prototyping Using Numerical Simulation to Ensure Thermomechanical Reliability in the Assembly and Interconnection of Electronic Assemblies" was published by Fraunhofer ENAS. Abstract "A methodology is presented that allows the evaluation of the thermomechanical reliability of electronic packages using “virtual prototyping.” He... » read more

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)


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

Co-Design View of Cross-Bar Based Compute-In-Memory


A new review paper titled "Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective" was published by researchers at Argonne National Lab, Purdue University, and Indian Institute of Technology Madras. "With an over-arching co-design viewpoint, this review assesses the use of cross-bar based CIM for neural networks, connecting the material proper... » read more

FPGAs: Automated Framework For Architecture-Space Exploration of Approximate Accelerators


A technical paper titled "autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems" was published (preprint) by researchers at TU Wien, Brno University of Technology, and NYUAD. Abstract "Generation and exploration of approximate circuits and accelerators has been a prominent research domain exploring energy-efficiency and/or performance... » read more

Hardware-Based Confidential Computing (NIST)


NIST has published a draft report, titled “Hardware Enabled Security: Hardware-Based Confidential Computing,” which presents an approach for managing machine identities for protection against malware and other security vulnerabilities. Comments are due April 10, 2023. Abstract "Organizations employ a growing volume of machine identities, often numbering in the thousands or millions per ... » read more

SpGEMM Targeting RISC-V Vector Processors (Barcelona Supercomputing Center)


A new technical paper titled "Optimization of SpGEMM with Risc-V vector instructions" was published (preprint) by researchers at the Barcelona Supercomputing Center. Abstract "The Sparse GEneral Matrix-Matrix multiplication (SpGEMM) C=A×B is a fundamental routine extensively used in domains like machine learning or graph analytics. Despite its relevance, the efficient execution of SpGEMM ... » read more

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