All screenshots included in this manual are taken from SpyGlass as an iShell .. plugins may provide actions, if the user clicks on an object on the screen, e.g. Atrenta spyglass user guide pdf. Both the printer driver and application software are compressed. CMOS Memory Clearing Header JP1 This header. Using Atrenta Spyglass in GUI mode: For all the documentation of the spyglass, do “spydocviewer &” in the command promptof the unix machine.
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Suffice to say, that atrenta spyglass user guide absolutely precise enough to make design decisions for power reduction. This is a discussion. We have recently used Spyglass on two different chips; below I have 4 sample case studies of our power reduction results.
It’s part of our mainstream design flow, and all the evidence is that Spyglass Power will meet the needs of our new designs, which will be up to 2. The memory power reduction comes from rules such as: We are a silicon conductor research institute. We came up with a clever way to use Spyglass to create a power model to analyze power consumption and optimize our programmable core design at the architectural atrenta spyglass user guide.
I would estimate we’ve had a 2 months savings with it. Spyglass’ sequential analysis and equivalence checking lets us test this.
These are highly skilled designers who usually assume that a tool cannot do better than they can! He then did final analysis for clock-gating. We are happy with Spyglass. The architect removed these power bugs by manually adding clock- gating cells at the cluster-level. If we do not have simulation vectors, then Spyglass can work with default activity parameters to atrenta spyglass user guide rough estimation. Our architect uses our internal RTL generator to generate RTL code with a reconfigurable clusterized architecture; without doing any clock gating yet.
RealIntent instead of Atrenta for lint/CDC/X
Spyglass has atrenta spyglass user guide problems with mixed language support. At my company we have 2 primary types of Spyglass users: We input simulation vectors to Spyglass, to get power estimates. The tool is stable and we get same-day support. Our two main applications today are advanced telecom basebands and multi-processor SoC’s for computing.
We wrote a C program to compile these individual power atrenta spyglass user guide, taking vuide account their duration, to create a power scorecard for the CPU. The architect then runs Spyglass Power to find power bugs. We’ve run a lot of correlations to assess for Spyglass’ power estimation accuracy.
We intend, in the coming weeks, to use Spyglass Power for defining using its power estimation feature the right set of operating points voltage, frequency for our Dynamic Voltage atrenta spyglass user guide Frequency Scaling.
Sign atrenta spyglass user guide for the DeepChip newsletter. The other primary users of Spyglass power are our experts in low-power design. Typically, this second stage includes optimizations focused on applying specific sequential and formal techniques to reduce register and memory power.
Anything said here is just one engineer’s opinion. Our architects use Spyglass at the architectural level as follows: We are looking at new design optimization techniques using the substrate, based atrenta spyglass user guide substrate polarization that atrenta spyglass user guide, for example, the transistor power consumption and speed.
First we run simulation vectors to functionally verify our design; we mostly design in VHDL, with some Verilog. Power graph for architecture This was a situation where the Spyglass Power activity report showed that a cluster of the design that should have been in an idle state was active and drawing power when it shouldn’t have been.
Read what EDA tool users really think.
Spyglass’ design flow integration allows our designers to focus on the results of the tool: Atrenta spyglass user guide initial power reduction done by one of our best local designers.
This was useful for power planning at SoC level during early design development phase SoC power architecture specification. This opportunity to consider programmable architectures in terms of power consumption especially makes sense for compiler and hardware designers looking for power saving.