Building AI SoCs

By Ed Sperling - 25 Oct, 2018 - Comments: 0

Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE ... » read more

Cloud Drives Changes In Network Chip Architectures

By Ann Mutschler - 03 Oct, 2018 - Comments: 0

Cloud data centers have changed the networking topology and how data moves throughout a large data center, prompting significant changes in the architecture of the chips used to route that data and raising a whole new set of design challenges. Cloud computing has emerged as the fast growing segment of the data center market. In fact, it is expected to grow three-fold in the next few years, a... » read more

Using High-Bandwidth Memory

By Ed Sperling - 01 Oct, 2018 - Comments: 0

eSilicon’s Tim Horel talks about HBM, what engineers need to know to work with this technology, and how it integrates with ASICs at advanced nodes. https://youtu.be/0Yq2XHGF6UE » read more

Machine Learning Shifts More Work to FPGAs, SoCs

By Kevin Fogarty - 24 Sep, 2018 - Comments: 0

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

Processing In Memory

By Ed Sperling - 05 Sep, 2018 - Comments: 1

Adding processing directly into memory is getting a serious look, particularly for applications where the volume of data is so large that moving it back and forth between various memories and processors requires too much energy and time. The idea of inserting processors into memory has cropped up intermittently over the past decade as a possible future direction, but it was dismissed as an e... » read more

AI Architectures Must Change

By Brian Bailey - 13 Aug, 2018 - Comments: 4

Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

Defining Edge Memory Requirements

By Ann Mutschler - 20 Jun, 2018 - Comments: 0

Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

Measuring And Analyzing SoC Performance With Verdi Performance Analyzer

By Synopsys - 23 May, 2018 - Comments: 0

SoC performance is a key competitive advantage in the marketplace. The choice and configuration of SoC components—protocol IP and interconnects, is geared towards maximizing overall SoC performance. A case in point is the use of HBM (High Bandwidth Memory) technology and controllers. Currently in its third generation, HBM boasts high-performance while using less power in a substantially small... » read more

Tech Talk: HBM vs. GDDR6

By Ed Sperling - 10 May, 2018 - Comments: 0

Frank Ferro, senior director of product management at Rambus, talks about memory bottlenecks and why both GDDR6 and high-bandwidth memory are gaining steam and for which markets. https://youtu.be/CPqdZZooS2g Related Video GDDR6 – HBM2 Tradeoffs (2019) What type of DRAM works best where. » read more

Challenges At The Edge

By Kevin Fogarty - 03 May, 2018 - Comments: 0

By Kevin Fogarty and Ed Sperling Edge computing is inching toward the mainstream as the tech industry begins grappling with the fact that far too much data will be generated by sensors to send everything back to the cloud for processing. The initial idea behind the IoT/IIoT, as well as other connected devices, was that simple sensors would relay raw data to the cloud for processing throug... » read more

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tag: HBM

Building AI SoCs

Cloud Drives Changes In Network Chip Architectures

Using High-Bandwidth Memory

Machine Learning Shifts More Work to FPGAs, SoCs

Processing In Memory

AI Architectures Must Change

Defining Edge Memory Requirements

Measuring And Analyzing SoC Performance With Verdi Performance Analyzer

Tech Talk: HBM vs. GDDR6

Challenges At The Edge

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