Chip Industry Technical Paper Roundup: Dec 18


New technical papers added to Semiconductor Engineering’s library this week. [table id=176 /] More ReadingTechnical Paper Library home » read more

A Survey Of Recent Advances In Spiking Neural Networks From Algorithms To HW Acceleration


A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of California Santa Cruz, University of Wisconsin-Madison, and University of Southern California. Abstract: "Neuromorphic computing and, in particular, spiking neural networks (SNNs) have becom... » read more

Chip Industry’s Technical Paper Roundup: Apr. 4


New technical papers recently added to Semiconductor Engineering’s library: [table id=90 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us p... » read more

CXL Memory: Detailed Characterization Analysis Using Micro-Benchmarks And Real Applications (UIUC, Intel Labs)


A new technical paper titled "Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices" was published by researchers at University of Illinois Urbana-Champaign (UIUC) and Intel Labs. Abstract: "The high demand for memory capacity in modern datacenters has led to multiple lines of innovation in memory expansion and disaggregation. One such effort is Compute eXpress Link (CXL)-based... » read more

Chip Industry’s Technical Paper Roundup: Feb. 28


New technical papers recently added to Semiconductor Engineering’s library: [table id=83 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us ... » read more

ISA and Microarchitecture Extensions Over Dense Matrix Engines to Support Flexible Structured Sparsity for CPUs (Georgia Tech, Intel Labs)


A technical paper titled "VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs" was published (preprint) by researchers at Georgia Tech and Intel Labs. Abstract: "Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines accessible v... » read more

Week In Review: Design, Low Power


IP, design Arm unveiled a number of new CPUs and GPUs. Based on the Armv9 architecture, the Cortex-X3 aims to improve single-threaded performance and targets a range of benchmarks and applications. The Cortex-A715 focuses on efficient performance, delivering a 20% energy efficiency gain and 5% performance uplift compared to Cortex-A710. In addition, the Cortex-A510 and DSU-110 were updated to ... » read more

Technical Paper Round-up: May 31


New technical papers added to Semiconductor Engineering’s library this week. [table id=30 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Neuromorphic Chips & Power Demands


Research paper titled "A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware," from researchers at Graz University of Technology and Intel Labs. Abstract "Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs. But this requires to understand how D... » read more

Silicon Verified ASIC Implementation for Saber


New research paper from Purdue University, KU Leuven, and Intel Labs titled "A 334uW 0.158mm2 Saber Learning with Rounding based Post-Quantum Crypto Accelerator." Abstract: "National Institute of Standard & Technology (NIST) is currently running a multi-year-long standardization procedure to select quantum-safe or post-quantum cryptographic schemes to be used in the future. Saber is the... » read more

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