Block floating point (BFP) has been around for a while but is just now starting to be seen as a very useful technique for performing machine learning operations. It’s worth pointing out up front that bfloat is not the same thing. BFP combines the efficiency of fixed point operations and also offers the dynamic range of full floating… Read More
Tag: network on chip
Network on Chip Brings Big Benefits to FPGAs
The conventional thinking about programmable solutions such as FPGAs is that you have to be willing to make a lot of trade-offs for their flexibility. This has certainly been the case in many instances. Even just getting data across the chip can eat up valuable routing resources and add a lot of overhead. These problems are exacerbated… Read More
Free webinar – Accelerating data processing with FPGA fabrics and NoCs
FPGAs have always been a great way to add performance to a system. They are capable of parallel processing and have the added bonus of reprogramability. Achronix has helped boost their utility by offering on-chip embedded FPGA fabric for integration into SoCs. This has had the effect of boosting data rates through these systems… Read More
An evolution in FPGAs
Why does it seem like current FPGA devices work very much like the original telephone systems with exchanges where workers connected calls using cords and plugs? Achronix thinks it is now time to jettison Switch Blocks and adopt a new approach. Their motivation is to improve the suitability of FPGAs to machine learning applications,… Read More
Leveraging AI to help build AI SOCs
When I first started working in the semiconductor industry back in 1982, I realized that there was a race going on between the complexity of the system being designed and the capabilities of the technology in the tools and systems used to design them. The technology used to design the next generation of hardware was always lagging… Read More
Artificial Intelligence calls for Smart Interconnect
Artificial Intelligence based systems are driving a metamorphosis in computing, and consequently precipitating a large shift in SOC design. AI training is often done in the cloud and has requirements for handling huge amounts of data with forward and backward data connections. Inference usually occurs at the edge and must be… Read More
AI Based Software Designing AI Based Hardware – Autonomous Automotive SoC Platform
For those of you who missed the NetSpeed Systems, Imagination Technologies webinar, “Alexa, can you help me build a better SoC”, you’ll be happy to hear that the session was recorded and can still be viewed (see link at the bottom of this page). I’ll warn you now however, that this was a high-bandwidth session packed with information,… Read More
Automotive System Reliability – ISO 26262 impacts IP and Tools
If you have been following the topic of ISO 26262, you now realize that IP, or even EDA design tools, developed with the highest quality standards still can’t be ISO 26262 certified. Recently I had a conversation with Kurt Shuler from Arteris about this topic. He is VP of Marketing at Arteris, and he is also on several ISO 26262 technical… Read More
NetSpeed’s Pegasus Last-Level Cache IP Improves SoC Performance and Reduces Latency
Memory is always a critical resource for a System-on-Chip (SoC) design. It seems like designers are always wanting more memory, and the memory they have is never fast enough to keep up with the processors, especially when using multi-core processors and GPUs. To complicate matters, today’s SoC architectures tend to share memory… Read More
NetSpeed Taking a Ride with Autonomous Automobiles
The push for autonomous automobiles continues at a rapid pace. Last week a new conference was held in Santa Clara, CA by the Linley Group focused on Autonomous Hardware. The group included presentations from GLOBAL FOUNDRIES, Synopsys, NetSpeed Systems, Arteris, EMBC, Cadence, CEVA, ARM and Trilumina covering ADAS and autonomous… Read More