However, a new set of convergence challenges emerges below 65 nanometers. Coupling capacitances increase to such an extent that there is even less assurance that the timing results you achieve in synthesis will carry through to physical implementation. Therefore, maintaining close correlation between synthesis and layout becomes even more critical—and challenging.

To achieve the tighter correlation needed below 65 nanometers, the synthesis solution must not only take physical data and constraints into consideration, but also provide physical guidance to the place-and-route solution, generating a timing- and congestion-aware netlist with additional physical information the place-and-route tool can use to seed the placement. Also, because it is much more difficult to meet increasingly challenging design goals at these small geometries, floorplan exploration is routinely needed to converge on an optimal floorplan, leading to further project delays.

Guidance from synthesis to layout is most effective when the synthesis and place-and-route engines share the same algorithms and floorplanning capabilities. For example, access to floorplanning from within synthesis lets RTL designers perform what-if floorplan exploration to quickly identify and correct timing and congestion issues and converge on an optimal floorplan that would otherwise take much longer to complete in place and route. Passing guidance to place and route creates a better starting point for layout and preserves synthesis QoR downstream, accelerating the entire implementation flow by enabling both faster place-and-route runtimes and fewer design iterations.

If your synthesis solution can accomplish all this then, yes, you will likely tape out on schedule. As we have seen, synthesis must accommodate a spectrum of continually changing design methodologies while delivering on the promise of ever-better QoR and ever-tighter correlation with layout. Due to these complementary challenges, synthesis technology will continue to improve steadily but incrementally in the years ahead, in pace with design requirements that are constantly evolving.

About the author: Eyal Odiz is vice president of engineering, RTL synthesis and test automation, Synopsys, Inc.

Odiz holds a bachelor of science in civil engineering, a bachelor of science in computer science, and a master of science in computer science, all from Technion in Haifa, Israel.

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.

January 2016 Cartoon Caption ContestBob's punishment for missing his deadline was to be tied to his chair tantalizingly close to a disconnected cable, with one hand superglued to his desk and another to his chin, while the pages from his wall calendar were slowly torn away.122 comments

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