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Improving Memory Efficiency And Performance


This is the second of two parts on CXL vs. OMI. Part one can be found here. Memory pooling and sharing are gaining traction as ways of optimizing existing resources to handle increasing data volumes. Using these approaches, memory can be accessed by a number of different machines or processing elements on an as-needed basis. Two protocols, CXL and OMI, are being leveraged to simplify thes... » read more

Week In Review: Design, Low Power


Synopsys completed its acquisition of QTronic GmbH, a provider of simulation, test tools, and services for automotive software and systems development. Terms of the deal were not disclosed. Synopsys launched the PrimeECO design closure solution, a signoff-driven solution that the company says achieves signoff closure with zero iterations. The tool includes a machine-learning-driven Hybrid Ti... » read more

The Week In Review: Design


Tools & IP Arm unveiled a new suite of IP focused on machine learning for edge devices. Currently dubbed Project Trillium, it includes the Arm ML processor, the second-generation Arm Object Detection (OD) processor, and open-source Arm NN software. The ML processor provides more than 4.6 TOPs in mobile environments with efficiency of 3 TOPs/W. People detection is a focus of the OD processo... » read more

Pushing DRAM’s Limits


If humans ever do create a genuinely self-aware artificial intelligence, it may well exhibit the frustration of waiting for data arrive. The access bandwidth of DRAM-based computer memory has improved by a factor of 20x over the past two decades. Capacity increased 128x during the same period. But latency improved only 1.3x, according to Kevin Chang, a researcher at Carnegie Mellon Universit... » read more

Architecture First, Node Second


What a difference a node makes. A couple of rather important changes have occurred in the move from 16/14 to 10/7nm (aside from more confusing naming conventions). First, companies that require more transistors—processor companies such as [getentity id="22846" e_name="Intel"], AMD, [getentity id="22306" comment="IBM"] and [getentity id="22676" e_name="Qualcomm"]—have come to grips with t... » read more