tag: in-memory computing

FeFET Multi-Level Cells For In-Memory Computing In 28nm
By Technical Paper Link - 19 Oct, 2023 - Comments: 0

A technical paper titled “First demonstration of in-memory computing crossbar using multi-level Cell FeFET” was published by researchers at Robert Bosch, University of Stuttgart, Indian Institute of Technology Kanpur, Fraunhofer IPMS, RPTU Kaiserslautern-Landau, and Technical University of Munich. Abstract: "Advancements in AI led to the emergence of in-memory-computing architectures as a... » read more

SRAM-Based IMC For Cryogenic CMOS Using Commercial 5 nm FinFETs
By Technical Paper Link - 27 Sep, 2023 - Comments: 0

A technical paper titled “Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs” was published by researchers at University of Stuttgart, Indian Institute of Technology Kanpur, University of California Berkeley, and Technical University of Munich. Abstract: "Cryogenic CMOS circuits that efficiently connect the classical domain with the quantum world are the co... » read more

A Microfluidics Device That Can Perform ANN Computation On Data Stored In DNA
By Technical Paper Link - 06 Sep, 2023 - Comments: 0

A technical paper titled “Neural network execution using nicked DNA and microfluidics” was published by researchers at University of Minnesota Twin-Cities and Rochester Institute of Technology. Abstract: "DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such a... » read more

An Energy-Efficient 10T SRAM In-Memory Computing Macro Architecture For AI Edge Processor
By Technical Paper Link - 28 Aug, 2023 - Comments: 0

A technical paper titled “An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor” was published by researchers at Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM). Abstract: "In-Memory Computing (IMC) is emerging as a new paradigm to address the von-Neumann bottleneck (VNB) in data-intensive applications.... » read more

A Search Framework That Optimizes Hybrid-Device IMC Architectures For DNNs, Using Chiplets
By Technical Paper Link - 08 Aug, 2023 - Comments: 0

A technical paper titled “HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms” was published by researchers at Yale University. Abstract: "Today, there are a plethora of In-Memory Computing (IMC) devices- SRAMs, PCMs & FeFETs, that emulate convolutions on crossbar-arrays with high throughput. Each IMC device offers its own pr... » read more

Comparing Analog and Digital SRAM In-Memory Computing Architectures (KU Leuven)
By Technical Paper Link - 01 Jun, 2023 - Comments: 0

A technical paper titled "Benchmarking and modeling of analog and digital SRAM in-memory computing architectures" was published by researchers at KU Leuven. Abstract: "In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models have surge... » read more

Optimizing Projected PCM for Analog Computing-In-Memory Inferencing (IBM)
By Technical Paper Link - 22 May, 2023 - Comments: 0

A new technical paper titled "Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference" was published by researchers at IBM Research. "A systematic study of the electrical properties-including resistance values, memory window, resistance drift, read noise, and their impact on the accuracy of large neural networks of various types and with tens of millions of wei... » read more

Performance Of Analog In-Memory Computing On Imaging Problems
By Technical Paper Link - 09 May, 2023 - Comments: 0

A technical paper titled "Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing" was published by researchers at Lund University and Ericsson Research. Abstract "Future generations of computing systems need to continue increasing processing speed and energy efficiency in order to meet the growing workload requirements under stringent en... » read more

Can Compute-In-Memory Bring New Benefits To Artificial Intelligence Inference?
By Paul Karazuba - 27 Apr, 2023 - Comments: 0

Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution. However, for that to be successful, an AI processing system would need to be explicitly architected to use CIM. The change would entail a shift ... » read more

Spiking Neural Networks: Hardware & Algorithm Developments
By Technical Paper Link - 18 Apr, 2023 - Comments: 0

A new technical paper titled "Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware" was published by researchers at Purdue University, Pennsylvania State University, and Yale University. Excerpt from Abstract: "In this article, we outline several strides that neuromorphic computing based on spiking neural networks (SNNs) has taken over the recent past, a... » read more

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