Computing in Science & Engineering

Reproducible Research for Computing in Science & Engineering

Computing in Science & Engineering: Web Computing - Message Passing: From Parallel Computing to the Grid

Parallel Computing Over the past decades, the computational science community has debated back and forth the best architecture for parallel computing; sometimes it’s distributed memory; sometimes SIMD (synchronous as in CM-1 and CM-2 from Thinking Machines); sometimes its MMD (multiple instruction multiple data as in networked computers); sometimes its shared memory; sometimes vector nodes; som...

Geometric Algebra Computing - in Engineering and Computer Science

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Frist international symposium on computing in science & engineering

A number of interesting problems can be modeled with nonlinear differential-difference equations (DDEs) [1][3], including particle vibrations in lattices, currents in electrical networks, and pulses in biological chains. Nonlinear DDEs also play a role in queuing problems and discretizations in solid state and quantum physics, and arise in the numerical solution of nonlinear PDEs. The study of ...

Distributed Computing Practice for Large-Scale Science & Engineering Applications

ion:. An abstraction is any process, mechanism or infrastructure to support a commonly occurring usage (e.g., computation, communication, and/or composition). For example, task, is an abstraction for the frequently occurring concept of an encapsulated and self-contained piece of work. It is often the case that an abstraction can exist at multiple levels. For example, task can either be a simple...