Optical technology offers simple interconnection schemes with straightforward layouts that support complex logical interconnection patterns. The Passive Optical Star (pos) is often suggested as a platform for implementing the optical network: Logically it offers an all-to-all broadcast capability. We investigate the use of pos optical technology as the communication medium for parallel computing. In particular, a feature of parallel models which is extremely important for the simplicity of algorithm design and program portability is the scalability property or self-simulation capability. It states that when a computation achieves a certain speedup on a large machine with many processors, then it achieves a similar speedup on any smaller mac...
) Abstract In this paper we study the Local Memory P-RAM. This model allows unit cost communication ...
New national security demands require enhanced computing systems for nearly ab initio simulations of...
This paper investigates the architectural requirements in simulating large neural networks using a h...
We present a work-optimal randomized algorithm for simulating a shared memory machine (pram) on an o...
We present a work-optimal randomized algorithm for simulating a shared memory machine (pram) on an o...
Speedups due to technological advances in solid state electronic design are reaching theoretical lim...
We present a number of computational complexity results for an optical model of computation called ...
In Partitioned Optical Passive Stars POPS network,nodes and couplers become free after slot to slot ...
Abstract-This paper presents a partitioned optical passive star (POPS) interconnection topology and ...
This paper shows that an n=2^k processor Partitioned Optical Passive Stars (POPS) network with g gro...
This paper examines the computing power of optical parallel computer systems. We consider t proposed...
This paper investigates communication strategies for interconnecting heterogeneous parallel systems....
This paper shows that an n = 2^k processor Partitioned Optical Passive Stars (POPS) network with g g...
This work is concerned with the computational complexity of a model of computation that is inspired ...
This paper investigates architectural and communication issues in designing heterogeneous parallel s...
) Abstract In this paper we study the Local Memory P-RAM. This model allows unit cost communication ...
New national security demands require enhanced computing systems for nearly ab initio simulations of...
This paper investigates the architectural requirements in simulating large neural networks using a h...
We present a work-optimal randomized algorithm for simulating a shared memory machine (pram) on an o...
We present a work-optimal randomized algorithm for simulating a shared memory machine (pram) on an o...
Speedups due to technological advances in solid state electronic design are reaching theoretical lim...
We present a number of computational complexity results for an optical model of computation called ...
In Partitioned Optical Passive Stars POPS network,nodes and couplers become free after slot to slot ...
Abstract-This paper presents a partitioned optical passive star (POPS) interconnection topology and ...
This paper shows that an n=2^k processor Partitioned Optical Passive Stars (POPS) network with g gro...
This paper examines the computing power of optical parallel computer systems. We consider t proposed...
This paper investigates communication strategies for interconnecting heterogeneous parallel systems....
This paper shows that an n = 2^k processor Partitioned Optical Passive Stars (POPS) network with g g...
This work is concerned with the computational complexity of a model of computation that is inspired ...
This paper investigates architectural and communication issues in designing heterogeneous parallel s...
) Abstract In this paper we study the Local Memory P-RAM. This model allows unit cost communication ...
New national security demands require enhanced computing systems for nearly ab initio simulations of...
This paper investigates the architectural requirements in simulating large neural networks using a h...