While customers should expect backward compatibility for software from their network processor vendors, some changes to the code may be required in ord er to utilize the new features of these ...

Andes AutoOpTune™ is available as a separately licensable plugin of AndeSight™ v5.4 and supports all Andes RISC-V processors. Via simple option tuning and recompilation, developers can gain extra ...

SANTA CLARA, Calif. — Tensilica Inc., a pioneer of the configurable microprocessor, has added an automated front-end to its Xtensa LX range of processors that allows application code to drive the ...

Now that processors are faster, memories are larger, and compilers are better, there are higher level language choices. This article looks at the advantages and trade-offs of languages for signal ...

A new technical paper titled “QiMeng: Fully Automated Hardware and Software Design for Processor Chip” was published by researchers at Chinese Academy of Sciences. Abstract “Processor chip design ...

The SDK (software development kit), which is available by request from the Automata Processor portal, includes a visual code editor, a compiler, a rules checker and an AP simulator.

FemtoRV is a minimalistic RISC-V design, with easy-to-read Verilog sources directly written from the RISC-V specification. The most elementary version (quark), an RV32I core, weights 400 lines of ...

Some professionals still misunderstand if RISC-V refers to processor hardware and software, and whether ... trace and debug extension, RAS features better code size, and more. Adding these features ...

By harnessing observability, developers can effectively monitor how inefficient code impacts CPU utilization and overall resource consumption. This not only facilitates the identification of ...

OULU, FINLAND--(Marketwired - Nov 28, 2017) - Minima Processor today announced its ultra-low power technology for near-threshold voltage design that uses its patented dynamic margining to minimize ...

Sponsored by Texas Instruments: Embedded processors capable of running AI algorithms coupled with “low-code” software-development tools lead to edge AI applications that can boost productivity ...