MIT Improves Memristor Device Performance Using Silver and Copper

June 10, 2020

Memristors hold great promise for implementation of low power, artificial neural networks, however the phase change technology most commonly used to implement m Read more…

IBM Boosts Deep Learning Accuracy on Memristive Chips

May 27, 2020

IBM researchers have taken another step towards making in-memory computing based on phase change (PCM) memory devices a reality. Papers in Nature and Frontiers Read more…

Michigan Researchers Demonstrate Memristor-based PDE Solver

August 1, 2018

Memristor technology is much discussed for many purposes, not least memory-based computing and reduced power consumption. Recently, a team of researchers implem Read more…

Mixed-Signal Neural Net Leverages Memristive Technology

January 8, 2018

Memristive technology has long been attractive for potential use in neuromorphic computing. Among other things it would permit building artificial neural networ Read more…

New Memristor Closely Mimics Synapse Signal Dynamics

October 3, 2016

Efforts to emulate signaling produced at nerve cell synapses aren’t new. Many different approaches – CMOS circuits and ‘ionic-drift’ based memristor technology, for example – have been tried, all with various shortcomings. Last week, researchers from UMass, Loughborough University, Hewlett Packard Labs, and Brookhaven National Laboratory reported a new approach that closely mimics the Ca2+ diffusion dynamics that occur at synapses Read more…

HP Rep Dishes on the Exascale Datacenter

April 16, 2011

Hewlett Packard's Partha Ranganathan outlines a path for exascale computing. Read more…

Growing Data Deluge Prompts Processor Redesign

February 28, 2011

Information explosion threatens to overwhelm modern processors. Read more…

HP Sees a Revolution in Memory Chip

April 8, 2010

Memristors can be used to store and process data on the same chip. Read more…

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Whitepaper

Transforming Industrial and Automotive Manufacturing

In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.

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How Direct Liquid Cooling Improves Data Center Energy Efficiency

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

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