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No currently accepted scientific theory makes use of the notion of causality. Scientists may interpret some math equations involved in a scientific theory to denote causality—but unlike, say, “force” or “attraction”, causality is not really part of the formal language of modern science. Roughly, causality consists of “predictive implication, plus assumption of a causal mechanism.” Predictive implications are part of science: science can tell us “If X happens, then expect Y to happen with a certain probability.” But science cannot tell us whether X is the “cause” of Y, versus them both habitually being part of some overall coordinated process.

Rube Goldberg couldn’t have designed a more elegant confluence of convoluted causal relationships.  Start analyzing the perplexing paradox of the FPGA synthesis market and each link of the chain reveals a bizarre force vector that eventually doubles back onto itself into an unlikely equilibrium that miraculously has held stable for a full decade despite disruptive forces of epic proportions. For over a decade now, Synplify has navigated these waters and has continued to survive and thrive through the unlikeliest of conditions.  Now in the hands of EDA giant Synopsys, the Synplify family of FPGA synthesis tools continues to evolve - with a major upgrade this fall.  When you put a digital design into an FPGA, there are two technologies that determine whether your design fits or doesn’t fit, whether it meets your timing constraints or does not, whether the power consumption will be within your limits (or those of the FPGA), or whether it fails completely, leaving your project at the mercy of major mulligans.   Those two technologies are synthesis and place-and-route.