Furthermore, we develop an optimum lottery scheme with higher "charming index", on the basis of Genetic Arithmetic combining Monte Carlo simulation.
As full-adders are frequently employed in a tree-structured configuration for high-performance arithmetic circuits, a cascaded simulation structure is employed to evaluate the full-adders in a realistic application environment.
We explore reduced-precision optimisation for simulating chaotic systems, targeting atmospheric modelling, in which even minor changes in arithmetic behaviour will cause simulations to diverge quickly.
The precision indicates the concentration of predicted values around the arithmetic mean of the simulations.
It reimplements the ASC hardware data types, such as HWfix and HWfloat, and overloads their arithmetic operators with the corresponding simulation code.
The panels in Fig. 6a show snapshots of the particle velocity amplitude in the seismic wavefield obtained by a 2D P-SV numerical simulation using single-precision arithmetic.
Although decreasing the capacity of each shared memory element (e.g., from 64 bits to 32 bits) allows more high-fluence voxels to be cached, this also causes more frequent arithmetic overflow, which slows down the simulation.
Interestingly, such physiological modulation was not observed during a mental-arithmetic task or during the mental simulation of an effortless movement (i.e. horizontal displacements of the wrist).
It is shown how interval arithmetic can be used for event driven simulation.
To keep the simulation simple and fast, the arithmetic operations are processed using floating-point values.
