The Week In Review: May 24
Mentor’s verifies stacked die interfaces; Cadence leaps forward with timing signoff; EDA earnings soar; silicon photonics gains ground.
"Silos aren't necessary if you have the same people doing both hardware and software. Of course, this is dependant on the..." - Fred Odendaal

Deep Insights for Chip Architects and Engineers
Mentor’s verifies stacked die interfaces; Cadence leaps forward with timing signoff; EDA earnings soar; silicon photonics gains ground.
Stacking graphene; diagnosing brain injury.
Jasper adds power-awareness to formal; Real Intent teams with DeFacTo for RTL sign off; Achronix teams with Synopsys on finFET-based FPGA; MagnaChip uses Mentor PDK; Yamaha teams with Cadence for characterization; Open-Silicon turns 10.
Second of three parts: How chipmakers will differentiate; time-to-market issues; changes to the ecosystem; consumer concerns; standards; security.
Semiconductor, EDA, and IP companies must look beyond hardware and software to include factory manufacturing and supply-chain issues in their “systems” view.
Bridges are being built between the data center and mobile devices, opening new opportunities for EDA and IP—with some caveats.
A number of tools are now required to provide sufficient coverage, and design teams are rethinking what to use and when to use it.
Standards are making it easier to hook various components together, to make comparisons between different blocks, and to get to market more quickly.
Understanding design topology and making decisions on clock/register gating has evolved to include physical data for more accuracy.
At least some verification is now required at every step of design through manufacturing, but the challenge is making it all work together.
Design complexities at advanced nodes are propelling new thinking on how interconnects should be addressed.
Six CEOs look at education and startups, and which parts of the semiconductor supply chain will be at risk and who will benefit.
How The Internet of Things is changing the game in electronics and EDA.
FPGA-based prototyping is now indispensible for SoC and ASIC development.
Many semiconductor companies are considering skipping the 20nm node or staying longer at 28nm. What does this mean for semiconductor design?
First of three parts: What it is; what’s needed to make it work; why Moore’s Law doesn’t always apply; how it will be built; when it will ramp up; and who’s going to benefit and reap the profits.
Second of three parts: How chipmakers will differentiate; time-to-market issues; changes to the ecosystem; consumer concerns; standards; security.
First of three parts: What’s changed; the pros and cons of UVM; the evolving nature of complexity; three paths for verification; partitioning the verification; limits of formal, FPGA prototyping; relatively vs. absolutely correct.
Second of three parts: Different applications for tools; who’s doing the verification; automated assertions; the role of UVM; EDA opportunities and challenges; how things are really done.
Last of three parts: Verifying IP and software; using margin as a buffer; ‘happy gates’; deadly bugs; too many models; improving verification through better design.
First of three parts: IP qualification and verification; hierarchy of verification tasks; application-specific verification; re-using testbenches; knowledge transfer across the design flow; improving communication between hardware and software teams.
Second of three parts: Trust IP, but still verify it; what can go wrong; the danger of bugs in even non-critical IP; abstractions and use cases.
Last of three parts: Design variables for different markets; what’s good enough; uncertainty vs. innovation; big vs. small IP suppliers; future challenges with stacked die.
First of three parts: The need for speed and more complete tools; free tools vs. ASIC-level capabilities; timing closure problems; ASIC prototype vs. FPGA as the final product.
Second of three parts: FPGA stacked die; application-specific debug; ASIC tools for FPGAs; changing methodologies; multiple FPGA devices; software issues.
What’s changing in verification as complexity continues to increase.
Complexity in designs, more features and smaller geometries are making it much harder to verify that a chip will work as planned.
One way to get more performance out of a design is to re-think what’s actually needed for a particular application. Not all applications require the same level of accuracy.
What will be necessary to get to 1 billion gates and what problems design teams will encounter along with way.
Cadence’s CEO talks about what’s changing in design, in Cadence, and across the global IC market.
A candid conversation with Open-Silicon’s CEO about the pain points in design, the challenges in derivative chips, and what’s missing from current tools flows.
Changes in the ecosystem and new requirements of SoCs are forcing companies to rethink coherency.
The push toward better performance in mobile devices is changing needs in SoCs designs.
A look at where the problems are in co-design and how much progress we’ve made.
Complexity, time-to-market, Moore’s Law and stacked die are all converging on the market for system-level design tools; growth begins to ramp.