Ultra-Low Power CiM Design For Practical Edge Scenarios


A technical paper titled “Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET” was published by researchers at Zhejiang University, University of Notre Dame, Technical University of Munich, Munich Institute of Robotics and Machine Intelligence, and the Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province. Abstract: "Compute... » read more

FPGA-Based HW/SW Platform For Pre-Silicon Emulation Of RISC-V Designs (Barcelona Supercomputing Center)


A technical paper titled “Makinote: An FPGA-Based HW/SW Platform for Pre-Silicon Emulation of RISC-V Designs” was published by researchers at Barcelona Supercomputing Center and Universitat Politècnica de Catalunya. Abstract: "Emulating chip functionality before silicon production is crucial, especially with the increasing prevalence of RISC-V-based designs. FPGAs are promising candidate... » read more

New Metasurface Architecture To Deliver Ultrafast Information Processing And Versatile Terahertz Sources


A technical paper titled “Light-driven nanoscale vectorial currents” was published by researchers at Los Alamos National Laboratory, Menlo Systems, University of California Davis, Columbia University, Sandia National Laboratories, and Intellectual Ventures. Abstract: "Controlled charge flows are fundamental to many areas of science and technology, serving as carriers of energy and informa... » read more

SW/HW Codesign For CXL Memory Disaggregation In Billion-Scale Nearest Neighbor Search (KAIST)


A technical paper titled “Bridging Software-Hardware for CXL Memory Disaggregation in Billion-Scale Nearest Neighbor Search” was published by researchers at the Korea Advanced Institute of Science and Technology (KAIST) and Panmnesia. Abstract: "We propose CXL-ANNS, a software-hardware collaborative approach to enable scalable approximate nearest neighbor search (ANNS) services. To this e... » read more

Modeling And Analyzing Open-Source SoCs For Low-Power Cyber-Physical Systems


A technical paper titled “TOP: Towards Open & Predictable Heterogeneous SoCs” was published by researchers at University of Bologna, ETH Zurich, and University of California San Diego. Abstract: "Ensuring predictability in modern real-time Systems-on-Chip (SoCs) is an increasingly critical concern for many application domains such as automotive, robotics, and industrial automation. An... » read more

LLM Inference on GPUs (Intel)


A technical paper titled “Efficient LLM inference solution on Intel GPU” was published by researchers at Intel Corporation. Abstract: "Transformer based Large Language Models (LLMs) have been widely used in many fields, and the efficiency of LLM inference becomes hot topic in real applications. However, LLMs are usually complicatedly designed in model structure with massive operations and... » read more

HW/SW Techniques To Regulate Supply Voltage And Clock Frequency Of Intermittently-Computing Devices


A technical paper titled “Dynamic Voltage and Frequency Scaling for Intermittent Computing” was published by researchers at Politecnico di Milano, Georgia Institute of Technology, Lahore University of Management Sciences, and Uppsala University. Abstract: "We present hardware/software techniques to intelligently regulate supply voltage and clock frequency of intermittently-computing devic... » read more

A New Phase-Change Memory For Processing Large Amounts Of Data 


A technical paper titled “Novel nanocomposite-superlattices for low energy and high stability nanoscale phase-change memory” was published by researchers at Stanford University, TSMC, NIST, University of Maryland, Theiss Research and Tianjin University. Abstract: "Data-centric applications are pushing the limits of energy-efficiency in today’s computing systems, including those based on... » read more

RISC-V Ultra-Low-Power Edge Accelerators (EPFL)


A technical paper titled “X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators” was published by researchers at EPFL. Abstract: "The field of edge computing has witnessed remarkable growth owing to the increasing demand for real-time processing of data in applications. However, challenges persist due to limitat... » read more

Training Large LLM Models With Billions To Trillion Parameters On ORNL’s Frontier Supercomputer


A technical paper titled “Optimizing Distributed Training on Frontier for Large Language Models” was published by researchers at Oak Ridge National Laboratory (ORNL) and Universite Paris-Saclay. Abstract: "Large language models (LLMs) have demonstrated remarkable success as foundational models, benefiting various downstream applications through fine-tuning. Recent studies on loss scaling ... » read more

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