tag: IBM Research Europe

Chip Industry Week In Review
By The SE Staff - 13 Sep, 2024 - Comments: 0

Infineon rolled out the world's first 300mm gallium nitride (GaN) wafer, opening the door for high-volume manufacturing of GaN-based power semiconductors. A 300mm wafer contains 2.3 times as many chips per wafer as a 200mm wafer. Fig.1: Infineon's 300mm GaN wafer. Source: Infineon The Semiconductor Industry Association released its 2024 State of the U.S. Semiconductor Industry report th... » read more

Chip Industry Technical Paper Roundup: Sept. 3
By Linda Christensen - 03 Sep, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=256 /] More ReadingTechnical Paper Library home » read more

Characterizing Three Supercomputers: Multi-GPU Interconnect Performance
By Technical Paper Link - 27 Aug, 2024 - Comments: 0

A new technical paper titled "Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects" was published by researchers at Sapienza University of Rome, University of Trento, Vrije Universiteit Amsterdam, ETH Zurich, CINECA, University of Antwerp, IBM Research Europe, HPE Cray, and NVIDIA. Abstract "Multi-GPU nodes are increasingly common in the rapidly evolving landscape... » read more

Chip Industry Technical Paper Roundup: Mar. 5
By Linda Christensen - 05 Mar, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=201 /] » read more

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog IMC (IBM and ETH Zurich)
By Technical Paper Link - 22 Feb, 2024 - Comments: 0

A technical paper titled “A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing” was published by researchers at IBM Research Europe and IIS-ETH Zurich. Abstract: "Analog In-Memory Computing (AIMC) is an emerging technology for fast and energy-efficient Deep Learning (DL) inference. However, a certain amount of digital post-processing is requ... » read more

Chip Industry’s Technical Paper Roundup: August 9
By Liz Allan - 09 Aug, 2023 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=124 /] More Reading Technical Paper Library home » read more

Demonstrating The Strong Superconducting Diode Effect In Conventional SC Thin films
By Technical Paper Link - 01 Aug, 2023 - Comments: 0

A technical paper titled “Ubiquitous Superconducting Diode Effect in Superconductor Thin Films” was published by researchers at Massachusetts Institute of Technology (MIT), IBM Research Europe, U.S. Army DEVCOM Army Research Laboratory, Centro de Física de Materiales (CFM-MPC), Hanford High School, Vestavia Hills High School, Donostia International Physics Center (DIPC), Condensed Matter ... » read more

Circuit knitting Based On Quasiprobability Simulation
By Technical Paper Link - 10 May, 2022 - Comments: 0

New paper "Circuit knitting with classical communication, " from researchers at ETH Zurich and IBM Quantum. Abstract: "The scarcity of qubits is a major obstacle to the practical usage of quantum computers in the near future. To circumvent this problem, various circuit knitting techniques have been developed to partition large quantum circuits into subcircuits that fit on smaller devices,... » read more

Power/Performance Bits: Dec. 21
By Jesse Allen - 21 Dec, 2021 - Comments: 0

Compact optical amplifier Researchers at Chalmers University of Technology propose a new optical amplifier design that is compact, high-performance, and doesn't generate excess noise. “We have developed the world's first optical amplifier that significantly enhances the range, sensitivity and performance of optical communication, that does not generate any excess noise – and is also com... » read more

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing
By Technical Paper Link - 09 Nov, 2021 - Comments: 0

Abstract: "In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning applications. One prominent application of IMC is that of performing matrix-vector multiplication in (1) time complexity by mapping the synaptic weights of a neural-network layer to the devices of an ... » read more

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