tag: GPU

Understanding SLAM (Simultaneous Localization And Mapping)
By Ed Sperling - 19 Feb, 2020 - Comments: 0

Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Uses, Limits And Questions For FPGAs In Autos
By Ann Mutschler - 06 Feb, 2020 - Comments: 0

Programmable logic in automotive applications is essential, given the parade of almost constant updates and shifts in direction, but exactly where the technology will be used has become a moving target. This isn't entirely surprising in the automotive industry. Carmakers are moving into electrification and increasing levels of automation in fits and starts, sometimes with dramatic swings in ... » read more

Divided On System Partitioning
By Brian Bailey - 30 Jan, 2020 - Comments: 0

Building an optimal implementation of a system using a functional description has been an industry goal for a long time, but it has proven to be much more difficult than it sounds. The general idea is to take software designed to run on a processor and to improve performance using various types of alternative hardware. That performance can be specified in various ways and for specific applic... » read more

A New Dawn For IP
By Brian Bailey - 12 Dec, 2019 - Comments: 0

The IP industry is changing again. The concept started as build once, use everywhere, but today it is more like architect once, customize everywhere. Few designs can afford sub-optimal IP for their application. The need for customized IP is driven by both leading-edge designs and the trailing markets, although for different reasons. While this customization is causing IP companies to transfo... » read more

Checkmate: Breaking The Memory Wall With Optimal Tensor Rematerialization
By Technical Paper Link - 05 Dec, 2019 - Comments: 0

Source: Published on arXiv 10/7/ 2019   Paras Jain Ajay Jain Aniruddha Nrusimha Amir Gholami Pieter Abbeel Kurt Keutzer Ion Stoica Joseph E. Gonzalez A recent paper published on arXiv by a team of UC Berkeley researchers notes that neural networks are increasingly impeded by the limited capacity of on-device GPU memory. The UC Berkeley team uses off-the-shel... » read more

Multi-Patterning EUV Vs. High-NA EUV
By Mark LaPedus - 04 Dec, 2019 - Comments: 4

Foundries are finally in production with EUV lithography at 7nm, but chip customers must now decide whether to implement their next designs using EUV-based multiple patterning at 5nm/3nm or wait for a new single-patterning EUV system at 3nm and beyond. This scenario revolves around ASML’s current extreme ultraviolet (EUV) lithography tool (NXE:3400C) versus a completely new EUV system with... » read more

Using FPGAs For AI
By Brian Bailey - 02 Dec, 2019 - Comments: 3

Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Making Sense Of Inferencing Options
By Ed Sperling - 19 Nov, 2019 - Comments: 0

Ian Bratt, fellow in Arm’s machine learning group, sheds light on all the different processing elements in machine learning, how different end user requirements affect those choices, why CPUs are a critical element in orchestrating what happens in these systems, and how power and software play into these choices. » read more

Thermal Challenges And Moore’s Law
By Ed Sperling - 22 Oct, 2019 - Comments: 0

Steven Woo, fellow and distinguished inventor at Rambus, looks at the evolution of graphics cards over a couple of decades and how designs changed to deal with more graphics and more heat, and why smaller, faster and cheaper doesn’t apply in this market. » read more

Making Sense Of ML Metrics
By Ed Sperling - 16 Oct, 2019 - Comments: 0

Steve Roddy, vice president of products for Arm’s Machine Learning Group, talks with Semiconductor Engineering about what different metrics actually mean, and why they can vary by individual applications and use cases. » read more

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