tag: CPU

New Architectures, Much Faster Chips
By Ed Sperling and Ann Mutschler - 31 Aug, 2020 - Comments: 0

The chip industry is making progress in multiple physical dimensions and with multiple architectural approaches, setting the stage for huge performance increases based on more modular and heterogeneous designs, new advanced packaging options, and continued scaling of digital logic for at least a couple more process nodes. A number of these changes have been discussed in recent conferences. I... » read more

The Challenge Of Keeping AI Systems Current
By Ed Sperling And Susan Rambo - 19 Aug, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss AI and its move to the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus; Kris Ardis, executive director at Maxim Integrated; Steve Roddy, vice president of Arm's Products Learning Group; and Vinay Mehta, inference technical marketing manager at Flex Logix. What follows are excerpts of that ... » read more

Power Impact At The Physical Layer Causes Downstream Effects
By Ann Mutschler - 09 Jul, 2020 - Comments: 0

Data movement is rapidly emerging as one of the top design challenges, and it is being complicated by new chip architectures and physical effects caused by increasing density at advanced nodes and in multi-chip systems. Until the introduction of the latest revs of high-bandwidth memory, as well as GDDR6, memory was considered the next big bottleneck. But other compute bottlenecks have been e... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem
By Ann Mutschler - 02 Apr, 2020 - Comments: 0

The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

Why It’s So Hard To Create New Processors
By Brian Bailey - 26 Mar, 2020 - Comments: 1

The introduction, and initial success, of the RISC-V processor ISA has reignited interest in the design of custom processors, but the industry is now grappling with how to verify them. The expertise and tools that were once in the market have been consolidated into the hands of the few companies that have been shipping processor chips or IP cores over the past 20 years. Verification of a pro... » read more

Software-Defined Hardware Gains Ground — Again
By Ann Mutschler - 26 Mar, 2020 - Comments: 0

The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

Machine Learning At The Edge
By Mentor, a Siemens Business - 11 Mar, 2020 - Comments: 0

Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

High-Performance Memory For AI And HPC
By Ed Sperling - 09 Mar, 2020 - Comments: 0

Frank Ferro, senior director of product management at Rambus, examines the current performance bottlenecks in high-performance computing, drilling down into power and performance for different memory options, and explains what are the best solutions for different applications and why. » read more

The Challenges Of Building Inferencing Chips
By Ann Mutschler - 27 Feb, 2020 - Comments: 0

Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

The Cost Of Programmability
By Brian Bailey - 27 Feb, 2020 - Comments: 1

Nothing comes for free, and that is certainly true for the programmable elements in an SoC. But without them we are left with very specific devices that can only be used for one fixed application and cannot be updated. Few complex devices are created that do not have many layers of programmability, but the sizing of those capabilities is becoming more important than in the past. There are... » read more

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