tag: in-memory computing

Energy-Efficient DRAM↔PIM Transfers for PIM Systems (KAIST)
By Technical Paper Link - 18 Sep, 2024 - Comments: 0

A new technical paper titled "PIM-MMU: A Memory Management Unit for Accelerating Data Transfers in Commercial PIM Systems" was published by researchers at KAIST. Abstract "Processing-in-memory (PIM) has emerged as a promising solution for accelerating memory-intensive workloads as they provide high memory bandwidth to the processing units. This approach has drawn attention not only from the... » read more

Analog In-Memory Computing: Fast Deep NN Training (IBM Research)
By Technical Paper Link - 10 Sep, 2024 - Comments: 0

A new technical paper titled "Fast and robust analog in-memory deep neural network training" was published by researchers at IBM Research. Abstract "Analog in-memory computing is a promising future technology for efficiently accelerating deep learning networks. While using in-memory computing to accelerate the inference phase has been studied extensively, accelerating the training phase has... » read more

NVMs: In-Memory Fine-Grained Integrity Verification Technique (Intel Labs, IISc)
By Technical Paper Link - 16 Jul, 2024 - Comments: 0

A new technical paper titled "iMIV: in-Memory Integrity Verification for NVM" was published by researchers at Intel Labs and Indian Institute of Science (IISc), Bengaluru. Abstract "Non-volatile Memory (NVM) could bridge the gap between memory and storage. However, NVMs are susceptible to data remanence attacks. Thus, multiple security metadata must persist along with the data to protect th... » read more

A Memory Device With MoS2 Channel For High-Density 3D NAND Flash-Based In-Memory Computing
By Technical Paper Link - 26 Jun, 2024 - Comments: 0

A technical paper titled “Low-Power Charge Trap Flash Memory with MoS2 Channel for High-Density In-Memory Computing" was published by researchers at Kyungpook National University, Sungkyunkwan University, Dankook University, and Kwangwoon University. Abstract: "With the rise of on-device artificial intelligence (AI) technology, the demand for in-memory computing has surged for data-intensiv... » read more

Research Bits: May 28
By Jesse Allen - 28 May, 2024 - Comments: 0

Nanofluidic memristive neural networks Engineers from EPFL developed a functional nanofluidic memristive device that relies on ions, rather than electrons and holes, to compute and store data. “Memristors have already been used to build electronic neural networks, but our goal is to build a nanofluidic neural network that takes advantage of changes in ion concentrations, similar to living... » read more

Ferroelectric Memory-Based IMC for ML Workloads
By Technical Paper Link - 21 May, 2024 - Comments: 0

A new technical paper titled "Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads" was published by researchers at Purdue University. Abstract "This study discusses the feasibility of Ferroelectric Capacitors (FeCaps) and Ferroelectric Field-Effect Transistors (FeFETs) as In-Memory Computing (IMC) elements to accelerate mach... » read more

In-Memory Computing: Techniques for Error Detection and Correction
By Technical Paper Link - 16 Apr, 2024 - Comments: 0

A new technical paper titled "Error Detection and Correction Codes for Safe In-Memory Computations" was published by researchers at Robert Bosch, Forschungszentrum Julich, and Newcastle University. Abstract "In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators. However, the non-idealities... » read more

Novel Neuromorphic Artificial Neural Network Circuit Architecture
By Technical Paper Link - 15 Jan, 2024 - Comments: 0

A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of Zurich and ETH Zurich. Abstract: "The brain’s connectivity is locally dense and globally sparse, forming a small-world graph—a principle prevalent in the evolution of various species, sugg... » read more

Ferroelectric Tunnel Junctions In Crossbar Array Analog In-Memory Compute Accelerators
By Technical Paper Link - 11 Jan, 2024 - Comments: 0

A technical paper titled “Ferroelectric Tunnel Junction Memristors for In-Memory Computing Accelerators” was published by researchers at Lund University. Abstract: "Neuromorphic computing has seen great interest as leaps in artificial intelligence (AI) applications have exposed limitations due to heavy memory access, with the von Neumann computing architecture. The parallel in-memory comp... » read more

Large-Scale Integration Of 2D Materials As The Semiconducting Channel In An In-Memory Processor (EPFL)
By Technical Paper Link - 03 Jan, 2024 - Comments: 0

A technical paper titled “A large-scale integrated vector-matrix multiplication processor based on monolayer molybdenum disulfide memories” was published by researchers at École Polytechnique Fédérale de Lausanne (EPFL). Abstract: "Data-driven algorithms—such as signal processing and artificial neural networks—are required to process and extract meaningful information from the mass... » read more

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