tag: in-memory computing

Power Delivery Challenges in 3D HI CIM Architectures for AI Accelerators (Georgia Tech)
By Technical Paper Link - 07 Feb, 2025 - Comments: 0

A new technical paper titled "Co-Optimization of Power Delivery Network Design for 3D Heterogeneous Integration of RRAM-based Compute In-Memory Accelerators" was published by researchers at Georgia Tech. Abstract: "3D heterogeneous integration (3D HI) offers promising solutions for incorporating substantial embedded memory into cutting-edge analog compute-in-memory (CIM) AI accelerators, ad... » read more

Design Space for the Device-Circuit Codesign of NVM-Based CIM Accelerators (TSMC)
By Technical Paper Link - 15 Jan, 2025 - Comments: 0

A new technical paper/mini-review titled "Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators" was published by researchers at TSMC and National Tsing Hua University. Abstract "Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid innovations in electronic hardware, including new memory devi... » read more

New Approach to Encoding Optical Weights for In-Memory Photonic Computing Using Magneto-Optic Memory Cells
By Technical Paper Link - 23 Oct, 2024 - Comments: 0

A new technical paper titled "Integrated non-reciprocal magneto-optics with ultra-high endurance for photonic in-memory computing" was published by researchers at UC Santa Barbara, University of Cagliari, University of Pittsburgh, AIST and Tokyo Institute of Technology. Abstract "Processing information in the optical domain promises advantages in both speed and energy efficiency over existi... » read more

Mixed Signal In-Memory Computing With Massively Parallel Gradient Calculations of High-Degree Polynomials
By Technical Paper Link - 19 Sep, 2024 - Comments: 0

A new technical paper titled "Computing high-degree polynomial gradients in memory" was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract "Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Isi... » read more

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

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