Silicon-based optoelectronics for general-purpose matrix computation: a review

General-Purpose Computation without General-Purpose Processors

A General-purpose Model for Heterogeneous Computation

Heterogeneous computing environments are becoming an increasingly popular platform for executing parallel applications. Such environments consist of a diverse set of machines and o er considerably more computational power at a lower cost than a parallel computer. E cient heterogeneous parallel applications must account for the di erences inherent in such an environment. For example, faster mach...

FIFTH system for general-purpose connectionist computation

To date, work on formalizing connectionist computation in a way that is at least Turingcomplete has focused on recurrent architectures and developed equivalences to Turing machines or similar super-Turing models, which are of more theoretical than practical significance. We instead develop connectionist computation within the framework of information propagation networks extended with unbounded...

QSM: A General Purpose Shared-Memory Model for Parallel Computation

We describe a general-purpose shared-memory model for parallel computation, called the qsm [22], which provides a high-level shared-memory abstraction for parallel algorithm design, as well as the ability to be emulated in an e ective manner on the bsp, a lower-level, distributedmemory model. We present new emulation results that show that very little generality is lost by not having a `gap par...

A General Purpose Shared-memory Model for Parallel Computation

We describe a general-purpose shared-memory model for parallel computation, called the qsm 22], which provides a high-level shared-memory abstraction for parallel algorithm design, as well as the ability to be emulated in an eeective manner on the bsp, a lower-level, distributed-memory model. We present new emulation results that show that very little generality is lost by not having a `gap par...