Arteris Articles

SemiWiki: On-Chip Networks at the Bleeding Edge of ML

On-chip networks become a lot more challenging at the high-end of machine learning (ML). Bernard Murphy (SemiWiki) talked with Kurt Shuler, VP Marketing at Arteris IP, about the experience they have developed over the years of working with well-known ML product builders and how this has influenced  the AI package recently released by Arteris IP in this SemiWiki blog:

On-Chip Networks at the Bleeding Edge of ML 

November 29th,  2018 - By Bernard Murphy

I wrote a while back about some of the more exotic architectures for machine learning (ML), especially for neural net (NN) training in the data center but also in some edge applications. In less hairy applications, we’re used to seeing CPU-based NNs at the low end, GPUs most commonly (and most widely known) in data centers as the workhorse for training, and for the early incarnations of some mobile apps (mobile AR/MR for example), FPGAs in applications where architecture/performance becomes more important but power isn’t super-constrained, DSPs in applications pushing performance per watt harder and custom designs such as the Google TPU pushing even harder.

Topics: SoC semiwiki kurt shuler NoC semiconductor machine learning FPGAs AI chips FlexNoC flexnoc ai package

Semiconductor Engineering: FPGAs Drive Deeper Into Cars

Ty Garibay, CTO at Arteris IP, provides his expertise in this Semiconductor Engineering article:

FPGAs Drive Deeper Into Cars

 

July 9th, 2018 - By Ann Steffora Mutschler

Topics: semiconductor engineering arteris ip autonomous driving semiconductor autonomous vehicles FPGAs LIDAR SoCs

Semiconductor Engineering: FPGAs Becoming More SoC-Like

Ty Garibay, CTO at Arteris IP, is quoted in this Semiconductor Engineering article:

FPGAs Becoming More SoC-Like

 

June 4th, 2018 - By Ann Steffora Mutschler

Topics: semiconductor engineering arteris ip FPGAs SoC ARM dsps I/O

Advanced SoC Interconnect IP Enables Greater Flexibility in an Era of Consolidation

I am thoroughly enjoying 2013. That’s because there seems to be a lot more reason for optimism this year than last year.  But before we let go of 2012, it’s important to reflect on the past year and see what it can teach us so we can make better business decisions moving forward.

Topics: NoC network-on-chip economics IP research semiconductor industry software SoC economics semiconductor industry economics ASICs ASIC design FPGAs field programmable gate arrays FPGA design intellectual property cores network-on-chip on-chip interconnect