Optimizing Hardware Faster


Maximillian Odendahl, CEO of Silexica, sat down with Semiconductor Engineering to talk about high-level synthesis and the changing role of this technology. What follows are excerpts of that conversation. SE: What is the direction that high-level synthesis is heading in? Odendahl: The direction hasn’t changed, but in the past HLS was not usable by the software guys. The main push right n... » read more

Building Quantum Espresso With Arm Compiler


This resource topic addresses how to build Quantum Espresso with Arm Compiler for HPC. Quantum Espresso is an integrated suite of open-source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Click here to read more. » read more

RISC-V Challenges And Opportunities


Semiconductor Engineering sat down to discuss open instruction set hardware and the future of RISC-V with Ben Levine, senior director of product management in Rambus' Security Division; Jerry Ardizzone, vice president of worldwide sales at Codasip; Megan Wachs, vice president of engineering at SiFive; and Rishiyur Nikhil, CTO of Bluespec. What follows are excerpts of that conversation. (L-... » read more

Better Benchmarks Through Compiler Optimizations: Codasip Jump Threading


The architectural efficiency of embedded processor IP is measured by a small set of industry standard benchmarks, that even though often bear little correlation to real workloads, continue to persist. The most popular benchmarks are Dhrystone and CoreMark. An interesting observation regarding these test suites is that the performance numbers continue to improve for a given architecture, even... » read more

Challenges In Using HLS For FPGA Design


High-level synthesis (HLS) tools, which transform C/C++ source code to Verilog/VHDL, have been commercially available for over 15 years. HLS tools from FPGA vendors and EDA companies promise improved productivity through a higher-level of abstraction, faster verification and quicker design iterations. For example, simulating your design in C/C++ can be 10 to 100x faster than simulating in RTL (... » read more

Tech Talk: TCAM


Dennis Dudeck, IP solutions FAE at eSilicon, talks about how to save power and area with ternary content addressable memory. https://youtu.be/y1FhdoNdzOw » read more

Quantifying IP Entitlement For 14/16nm Technologies


The scaling benefits of [getkc id="74" comment="Moore"s Law"] are being seriously tested at 28nm. It is no longer a given that the cost per gate will go down at leading edge process nodes below 28nm, e.g., 20nm though 14nm. Rising design and manufacturing costs are contributing factors to this trend. Meanwhile, the competing trend of fewer but more complex [getkc id="81" comment="SoC"] (So... » read more