TU Dresden: Tile-based Multi-Core Architecture for Heterogeneous RISC-V Processors Suitable for FPGA Platforms


New technical paper titled "AGILER: An Adaptive Heterogeneous Tile-Based Many-Core Architecture for RISC-V Processors" from researchers at Technische Universitaet Dresden (TU Dresden). Partial Abstract: "In this work, AGILER is proposed as an adaptive tile-base many-core architecture for heterogeneous RISC-V based processors. The proposed architecture consists of modular and adaptable heter... » read more

End to End System Design for DRAM-based TRNG


Research paper titled "DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators" is presented from researchers at TOBB University of Economics and Technology and ETH Zurich. Abstract "Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True ... » read more

Designing Hardware Accelerators Using A Data-Driven Approach


Research paper titled "Data-Driven Offline Optimization For Architecting Hardware Accelerators" by researchers at Google Research and UC Berkeley. Abstract "Industry has gradually moved towards application-specific hardware accelerators in order to attain higher efficiency. While such a paradigm shift is already starting to show promising results, designers need to spend considerable man... » read more

OTA On-Chip Computing That Conquers A Bottleneck In Wired NoC Architectures


New research paper titled "Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing" from researchers at IBM Research, Zurich Switzerland and Universitat Politecnica de Catalunya, Barcelona, Spain Abstract: "Hyperdimensional computing (HDC) is an emerging computing paradigm that represents, manipulates, and communicates data using very long random vectors (aka hyp... » read more

Flexible Microprocessors (FlexiCores)- Natively flexible 4-bit and 8-bit microprocessors optimized for low footprint and yield


New research paper titled "FlexiCores: low footprint, high yield, field reprogrammable flexible microprocessors" from researchers at University of Illinois and PragmatIC Semiconductor. Abstract "Flexible electronics is a promising approach to target applications whose computational needs are not met by traditional silicon-based electronics due to their conformality, thinness, or cost requir... » read more

End-to-End System for Object Localization By Coupling pMUTs to a Neuromorphic RRAM-based Computational Map


New research paper titled "Neuromorphic object localization using resistive memories and ultrasonic transducers" from researchers at CEA, LETI, Université Grenoble Alpes and others. Abstract "Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary... » read more

Deep Reinforcement Learning to Dynamically Configure NoC Resources


New research paper titled "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems" from Md Farhadur Reza at Eastern Illinois University. Find the open access technical paper here. Published June 2022. M. F. Reza, "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energ... » read more

ETH Zurich: PIM (Processing In Memory) Architecture, UPMEM & PrIM Benchmarks


New paper technical titled "Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture" led by researchers at ETH Zurich. Researchers provide a comprehensive analysis of the first publicly-available real-world PIM architecture, UPMEM, and introduce PrIM (Processing-In-Memory benchmarks), a benchmark suite of 16 workloads from different application domai... » read more

MIT: Stackable AI Chip With Lego-style Design


New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Simulation Framework to Evaluate the Feasibility of Large-scale DNNs based on CIM Architecture & Analog NVM


Technical paper titled "Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines" from researchers at UCLA. Abstract "Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile memory (NVM) technologies have been explored for deep neural networks (DNNs) to improve scalability, speed, and energy efficiency. Such architectures, however, leverage ... » read more

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