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Design Article

RTL synthesis can accelerate the entire implementation flow

Eyal Odiz

3/31/2010 1:21 PM EDT

You work in an environment where demanding design goals and aggressive project schedules go hand-in-hand with the push to get more complex products to market faster. And you have just finalized the RTL description of your company's next-generation product, a large system-on-chip (SoC). With just a few weeks remaining for final synthesis, place and route (P&R) and post-layout verification tasks, you wonder: can I still finish the job on schedule?

The answer depends on whether your synthesis solution is capable of delivering the best-possible quality-of-results (QoR) to meet all your timing, area, power and test requirements. Excellent QoR from synthesis is paramount to meeting your design objectives and cannot be compromised along the way. But given today's design challenges, this is a tall order. A robust synthesis solution must perform concurrent timing, area, power and test optimizations across multiple design corners and operating modes. To streamline the process, the synthesis engines can take advantage of the increased CPU parallelism now possible using inexpensive and widely-available multicore compute servers. Even so, your synthesis solution also must be able to accommodate a rich variety of design-for-test methodologies, low-power design techniques and a host of other design schemes that have emerged to meet the complex requirements of today's SoCs.

Synthesizing a netlist with the best QoR, however, is no longer enough to ensure fast design closure and a predictable schedule. As process geometries shrink to 65 nanometers, wire lengths and cell placement have a greater effect on critical timing paths in a design, leading to divergence of QoR between synthesis and place and route. The resulting uncorrelated design will invariably require changes to the layout (and often the RTL code itself) to meet your design requirements across all corners and modes of operation. And even if synthesis results are correlated, severe routing congestion can make it difficult to route the design. Design closure in this case will likely require extensive design alterations and successive iterations to converge to a routable design that also meets your performance specifications.

It is this convergence process—the numerous, time-consuming design iterations encompassing the entire implementation flow—that makes up most of the total implementation time and poses the greatest risk to your project schedule.

A robust synthesis solution, therefore, must be capable of producing results for timing, area and power that are correlated with place-and-route results, and that minimizes the occurrence of routing congestion.

Topographical technology within RTL synthesis can take advantage of virtual placement information to estimate wire lengths with sufficient accuracy to achieve the tight correlation needed for eliminating iterations and enabling rapid design closure. Moreover, congestion prediction and mitigation capabilities in the synthesis solution make it easy to identify potential congestion "hot spots," whether caused by the floorplan, or the presence of highly-interconnected logic structures in the netlist. Then, appropriate action can be taken up front by either altering the RTL, the floorplan or instructing synthesis to perform targeted congestion optimizations.


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Symmecon

4/7/2010 6:22 AM EDT

Eyal Odiz is on target by pointing out that the current issue is the physical guidance needed for optimization of synthesis solutions at convergent scales. It comes down to the .model files used to calculate exact design features, and that depends on the data density of the atomic model applied to the IC. Recent advancements in quantum science have produced the picoyoctometric, 3D, interactive video atomic model imaging function, in terms of chronons and spacons for exact, quantized, relativistic animation. This format returns clear numerical data for a full spectrum of variables. The atom's RQT (relative quantum topological) data point imaging function is built by combination of the relativistic Einstein-Lorenz transform functions for time, mass, and energy with the workon quantized electromagnetic wave equations for frequency and wavelength.

The atom labeled psi (Z) pulsates at the frequency {Nhu=e/h} by cycles of {e=m(c^2)} transformation of nuclear surface mass to forcons with joule values, followed by nuclear force absorption. This radiation process is limited only by spacetime boundaries of {Gravity-Time}, where gravity is the force binding space to psi, forming the GT integral atomic wavefunction. The expression is defined as the series expansion differential of nuclear output rates with quantum symmetry numbers assigned along the progression to give topology to the solutions.

Next, the correlation function for the manifold of internal heat capacity energy particle 3D functions is extracted by rearranging the total internal momentum function to the photon gain rule and integrating it for GT limits. This produces a series of 26 topological waveparticle functions of the five classes; {+Positron, Workon, Thermon, -Electromagneton, Magnemedon}, each the 3D data image of a type of energy intermedon of the 5/2 kT J internal energy cloud, accounting for all of them.

Those 26 energy data values intersect the sizes of the fundamental physical constants: h, h-bar, delta, nuclear magneton, beta magneton, k (series). They quantize atomic dynamics by acting as fulcrum particles. The result is the exact picoyoctometric, 3D, interactive video atomic model data point imaging function, responsive to keyboard input of virtual photon gain events by relativistic, quantized shifts of electron, force, and energy field states and positions. This system also gives a new equation for the magnetic flux variable B, which appears as a waveparticle of changeable frequency.

Images of the h-bar magnetic energy waveparticle of ~175 picoyoctometers are available online at http://www.symmecon.com with the complete RQT atomic modeling manual titled The Crystalon Door, copyright TXu1-266-788. TCD conforms to the unopposed motion of disclosure in U.S. District (NM) Court of 04/02/2001 titled The Solution to the Equation of Schrodinger.

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