Efficiently Process Large RM Datasets In Underlying Memory Pool, Disaggregated Over CXL (KAIST)


A technical paper titled "Failure Tolerant Training with Persistent Memory Disaggregation over CXL" was published (preprint) by researchers at KAIST and Panmnesia. "TRAININGCXL can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low overhead," states the paper. Find the technical paper here. or here (IEE... » read more

FPGA-Based Prototyping Framework For Processing In DRAM (ETH Zurich & TOBB Univ.)


A technical paper titled "PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM" was published by researchers at ETH Zurich and TOBB University of Economics and Technology. Abstract "Processing-using-memory (PuM) techniques leverage the analog operation of memory cells to perform computation. Several recent works have demonstrated PuM techniques in off-the-shelf DRAM dev... » read more

MTJ-based Circuits Provide Low-Cost, Energy Efficient Solution For Future Hardware Implementation in SC Algorithms


A review paper titled "Review of Magnetic Tunnel Junctions for Stochastic Computing" was published by researchers at University of Minnesota Twin Cities. Funding agencies include Semiconductor Research Corporation (SRC), CAPSL, NIST, DARPA and others. Abstract: "Modern computing schemes require large circuit areas and large energy consumption for neuromorphic computing applications, such as... » read more

Rowhammer Mitigation: In-DRAM Mechanism Scaling The Number of Refreshes With Activations (ETH Zurich)


A technical paper titled "REGA: Scalable Rowhammer Mitigation with Refresh-Generating Activations" was written by researchers at Computer Security Group (COMSEC), ETH Zurich and Zentel Japan. The paper will be presented at IEEE's Symposium on Security and Privacy in May 2023. "With REGA, we propose the first fully in-DRAM mitigation capable of protecting devices independently from their blas... » read more

RISC-V decoupled Vector Processing Unit (VPU) For HPC


A technical paper titled "Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications" was published by researchers at Barcelona Supercomputing Center, Spain. "The maturity level of RISC-V and the availability of domain-specific instruction set extensions, like vector processing, make RISC-V a good candidate for supporting the integration of ... » read more

Safeguarding SRAMs From IP Theft (Best Paper Award)


A technical paper titled "Beware of Discarding Used SRAMs: Information is Stored Permanently" was published by researchers at Auburn University. The paper won "Best Paper Award" at the IEEE International Conference on Physical Assurance and Inspection of Electronics (PAINE) Oct. 25-27 in Huntsville. Abstract: "Data recovery has long been a focus of the electronics industry for decades by s... » read more

Step Towards A 5G Software-Defined RAN Over A Fully Open-Source Parallel RISC-V Architecture (ETH Zurich)


A technical paper titled "Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-core Processor" was published by researchers at ETH Zurich. Abstract (partial) "5G Radio access network disaggregation and softwarization pose challenges in terms of computational performance to the processing units. At the physical layer level, the baseband processing computational effort is typicall... » read more

Heterogeneous Ultra-Low-Power RISC-V SoC Running Linux


A technical paper titled "HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC" was published by researchers at University of Bologna, University of Modena and Reggio Emilia, and ETH Zurich. "We present HULK-V: an open-source Heterogeneous Linux-capable RISC-V-based SoC coupling a 64-bit RISC-V processor with an 8-core Programmable Multi-Core Accelerator (PMCA), delivering up to... » read more

Leveraging Multi-Agent RL for Microprocessor Design Space (Harvard, Google)


A new technical paper titled "Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration" was published by researchers at Harvard University and Google research groups. Abstract "Microprocessor architects are increasingly resorting to domain-specific customization in the quest for high-performance and energy-efficiency. As the systems grow in complexity, fine-tuning arch... » read more

2D-Materials-Based Electronic Circuits (KAUST and TSMC)


A special edition article titled "Electronic Circuits made of 2D Materials" was just published by Dr. Mario Lanza, KAUST Associate Professor of Material Science and Engineering, and Iuliana Radu, corporate researcher at TSMC. This special issue covers 21 articles from leading subject matter experts, ranging from materials synthesis and their integration in micro/nano-electronic devices and c... » read more

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