We describe an alternative in this paper: a SPARC-based processor with predictable timing and instruction-set extensions that provide precise timing control.
By altering this input, Masque is able to shape user behavior and perception in predictable ways without needing explicit instructions.
In conclusion, Heckmann et al. suggest the following restrictions for time-predictable processors: (1) separate data and instruction caches, (2) locally deterministic update strategies for caches, (3) static branch prediction, and (4) limited out-of-order execution.
The imminent neglect of any zoonosis of which the main reservoir host is not an economically vital animal species is predictable unless addressed by unconditional execution and instruction of the One Health paradigm on global, regional, and country levels.
But complexity that has accumulated over billions of years does not come with blueprints or instruction books, and cannot be reconfigured with predictable outcomes.
Berg et al. identify the following design principles for a time-predictable processor: "recoverability from information loss in the analysis, minimal variation of the instruction timing, noninterference between processor components, deterministic processor behavior, and comprehensive documentation" [10].
As these adjustments are instantiated by the participants without instruction, they reveal a form of rapid strategic learning for dealing with temporally predictable stimulus incongruency.
Unless CUNY and SUNY can count on stable and predictable revenues, and have the flexibility to use them effectively to assure a high quality of instruction and research, these great universities will slowly wither, taking the state's economy along with them.
In doing so, we prototype a precision timed (PRET) embedded processor architecture that introduces temporal semantics at the instruction-set architecture, and one that carefully selects architectural optimization techniques to deliver predictable performance enhancements.
typically involves adding one or a few genes, each containing instructions for a protein whose function is known, they argue, it is more predictable than traditional methods that involve randomly mixing or mutating many genes of unknown function.
