Architecting Faster Computers


To create faster computers, the industry must take a major step back and re-examine choices that were made half a century ago. One of the most likely approaches involves dropping demands for determinism, and this is being attempted in several different forms. Since the establishment of the von Neumann architecture for computers, small, incremental improvements have been made to architectures... » read more

Expedera: Custom Deep Learning Accelerators Through Soft-IP


Internet of Things (IoT) and Artificial Intelligence (AI) have caused a massive increase in data generation — and along with it, a need to process data faster and more efficiently. Dubbed a “tsunami of data,” data centers are expected to consume about one-fifth of worldwide energy before 2030. This data explosion is driving a wave of startups looking to gain a foothold in custom accele... » read more

Moving Intelligence To The Edge


The buildout of the edge is driving a slew of new challenges and opportunities across the chip industry. Sailesh Chittipeddi, executive vice president at Renesas Electronics America, talks about the shift toward more AI-centric workloads rather than CPU-centric, why embedded computing is becoming the foundation of all intelligences, and the importance of software, security, and user experience ... » read more

Neuromorphic chip integrated with a large-scale integration circuit and amorphous-metal-oxide semiconductor thin-film synapse devices


New academic paper from Nara Institute of Science and Technology (NAIST) and Ryukoku University. Abstract "Artificial intelligences are promising in future societies, and neural networks are typical technologies with the advantages such as self-organization, self-learning, parallel distributed computing, and fault tolerance, but their size and power consumption are large. Neuromorphic syste... » read more

EDA On Cloud Presents Unique Challenges


Discussions about cloud-based EDA tools are heating up for both hardware and software engineering projects, opening the door to vast compute resources that can be scaled up and down as needed. Still, not everyone is on board with this shift, and even companies that use the cloud don't necessarily want to use it for every aspect of chip design. But the number of cloud-based EDA tools is growi... » read more

Research Bits: March 29


Brain-like AI chip Researchers from Purdue University, Santa Clara University, Portland State University, Pennsylvania State University, Argonne National Laboratory, University of Illinois Chicago, Brookhaven National Laboratory, and University of Georgia built a reprogrammable chip that could be used as the basis for brain-like AI hardware. “The brains of living beings can continuously l... » read more

Week In Review: Manufacturing, Test


Worldwide fab equipment spending for front-end manufacturing is expected to hit $107 billion this year, an 18% year-over-year increase, according to SEMI’s latest World Fab Forecast report. “Crossing the $100 billion mark in spending on global fab equipment for the first time is a historic milestone for the semiconductor industry,” said Ajit Manocha, president and CEO of SEMI. Investme... » read more

Autonomous Design Automation: How Far Are We?


The year is 2009, during the Design Automation Conference (DAC) at a press dinner in a posh little restaurant in San Francisco’s Civic Center. About two glasses of red wine in, one of the journalists challenges the table: “So, how far away are we from the black box that we feed with our design requirements and it produces the design that we send to the foundry?” We discussed all the indus... » read more

Embedded AI On L-Series Cores


Over the last few years there has been an important shift from cloud-level to device-level AI processing. The ability to run AI/ML tasks becomes a must-have when selecting an SoC or MCU for IoT and IIoT applications. Embedded devices are typically resource-constrained, making it difficult to run AI algorithms on embedded platforms. This paper looks at what could make it easier from a softwar... » read more

Cataloging IP In The Enterprise


Many companies have no way of documenting where IP they license is actually used, which version of that IP is being utilized, and whether that license extends to other projects or even to their customers. Pedro Pires, applications engineer at ClioSoft, looks at how IP currently is cataloged, why it’s been so difficult to do this in the past, and how AI can be used to speed up and simplify thi... » read more

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