In-NAND Flash Processing Technique for Improved Performance, Energy Efficiency & Reliability of Bulk Bitwise Operations


A new technical paper titled "Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory" was published by researchers at ETH Zurich, POSTECH, LIRMM/Univ. Montpellier/CNRS and Kyungpook National University. Find the technical paper here (published September 2022) and related YouTube lecture here. "We propose Flash-Cosmos (Flash Computation wi... » read more

Using Silicon Photonics To Reduce Latency On Edge Devices


A new technical paper titled "Delocalized photonic deep learning on the internet’s edge" was published by researchers at MIT and Nokia Corporation. “Every time you want to run a neural network, you have to run the program, and how fast you can run the program depends on how fast you can pipe the program in from memory. Our pipe is massive — it corresponds to sending a full feature-leng... » read more

New Class of Electrically Driven Optical Nonvolatile Memory


A new technical paper titled "Electrical Programmable Multi-Level Non-volatile Photonic Random-Access Memory" was published by researchers at George Washington University, Optelligence, MIT, and the University of Central Florida. Researchers demonstrate "a multi-state electrically-programmed low-loss non-volatile photonic memory based on a broadband transparent phase change material (Ge2Sb2S... » read more

3D Racetrack Memory Device (Max Planck)


A new technical paper titled "Three-dimensional racetrack memory devices designed from freestanding magnetic heterostructures" was published by researchers at Max Planck Institute of Microstructure Physics in Halle, Germany. "Magnetic racetrack memory encodes data in a series of magnetic domain walls that are moved by current pulses along magnetic nanowires. To date, most studies have focuse... » read more

Redesigning Core and Cache Hierarchy For A General-Purpose Monolithic 3D System


A technical paper titled "RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory" was published by researchers at ETH Zürich, KMUTNB, NTUA, and University of Toronto. Abstract: "Recent nano-technological advances enable the Monolithic 3D (M3D) integration of multiple memory and logic layers in a single chip with fine-graine... » read more

Memory-Computation Decoupling Execution To Achieve Ideal All-Bank PIM Performance


A new technical paper titled "Achieving the Performance of All-Bank In-DRAM PIM With Standard Memory Interface: Memory-Computation Decoupling" was published by researchers at Korea University. "This paper proposed the memory-computation decoupled PIM architecture to provide the performance comparable to the all-bank PIM while preserving the standard DRAM interface, i.e., DRAM commands, powe... » read more

Nonvolatile ECRAM With A Short-Circuit Retention Time Several Orders of Magnitude Higher Than Previously Shown


A new technical paper titled "Nonvolatile Electrochemical Random-Access Memory Under Short Circuit" was published by researchers at University of Michigan and Sandia National Laboratories. Abstract "Electrochemical random-access memory (ECRAM) is a recently developed and highly promising analog resistive memory element for in-memory computing. One longstanding challenge of ECRAM is attainin... » read more

A Full-Stack Domain-Specific Overlay Generation Framework Verified On FPGA


A new technical paper titled "OverGen: Improving FPGA Usability through Domain-specific Overlay Generation" by researchers at UCLA and Chinese Academy of Sciences. "Our essential idea is to develop a hardware generation framework targeting a highly-customizable overlay, so that the abstraction gap can be lowered by tuning the design instance to applications of interest. We leverage and ext... » read more

Training a ML model On An Intelligent Edge Device Using Less Than 256KB Memory


A new technical paper titled "On-Device Training Under 256KB Memory" was published by researchers at MIT and MIT-IBM Watson AI Lab. “Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes deep learning more accessible and can have a bro... » read more

Adaptive Memristive Hardware


A new technical paper titled "Self-organization of an inhomogeneous memristive hardware for sequence learning" was just published by researchers at University of Zurich, ETH Zurich, Université Grenoble Alpes, CEA, Leti and Toshiba. "We design and experimentally demonstrate an adaptive hardware architecture Memristive Self-organizing Spiking Recurrent Neural Network (MEMSORN). MEMSORN incorp... » read more

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