Difficult Memory Choices In AI Systems


The number of memory choices and architectures is exploding, driven by the rapid evolution in AI and machine learning chips being designed for a wide range of very different end markets and systems. Models for some of these systems can range in size from 10 billion to 100 billion parameters, and they can vary greatly from one chip or application to the next. Neural network training and infer... » read more

Faster Inferencing At The Edge


Cheng Wang, senior vice president of engineering at Flex Logix, talks about inferencing at the edge, what are some of the main considerations in designing and choosing an inferencing chip, why programmability and modularity are important, and how hardware-software co-design with algorithms can improve performance and power. » read more

Speeding Up AI With Vector Instructions


A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

Security Tradeoffs In Chips And AI Systems


Semiconductor Engineering sat down to discuss the cost and effectiveness of security in chip architectures and AI systems with with Vic Kulkarni, vice president and chief strategist at Ansys; Jason Oberg, CTO and co-founder of Tortuga Logic; Pamela Norton, CEO and founder of Borsetta; Ron Perez, fellow and technical lead for security architecture at Intel; and Tim Whitfield, vice president of s... » read more

Performance and Power Tradeoffs At 7/5nm


Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

Increase In Analog Problems


Analog and mixed signal design has always been tough, but a resent survey suggests that the industry has seen significantly increased failures in the past year because the analog circuitry within an ASIC was out of tolerance. What is causing this spike in failures? Is it just a glitch in the data, or are these problems real? The answer is complicated, and to a large extent it depends heavily... » read more

Slower Metal Bogs Down SoC Performance


Metal interconnect delays are rising, offsetting some of the gains from faster transistors at each successive process node. Older architectures were born in a time when compute time was the limiter. But with interconnects increasingly viewed as the limiter on advanced nodes, there’s an opportunity to rethink how we build systems-on-chips (SoCs). ”Interconnect delay is a fundamental tr... » read more

Searching For Power Bugs


How much power is your design meant to consume while performing a particular function? For many designs, getting this right may separate success from failure, but knowing that right number is not as easy as it sounds. Significant gaps remain between what power analysis may predict and what silicon consumes. As fast as known gaps are closed, new challenges and demands are being placed on the ... » read more

Security At The Edge


Semiconductor Engineering sat down to discuss security at the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus, Kris Ardis, executive director at Maxim Integrated; and Steve Roddy, vice president of Arm's Products Learning Group. What follows are excerpts of that conversation. To view part one of this discussion, click here. Part two i... » read more

Creating Domain-Specific Processors Using Custom RISC-V ISA Instructions


When System-on-Chip (SoC) developers include processors in their designs, they face choices in solving their computational challenges. Complex SoCs will usually have a variety of processor cores responsible for varied functions such as running the main application programs, communications, signal processing, security, and managing storage. Traditionally, such cores have been in distinct categor... » read more

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