processor reduction machine for the parallel evaluation of applicative languages. In Proceed-A highly parallel processor using a data ow machine language. A system for scalable and resilient large-grain parallel processing.

This paper represents linkage network of queues consisting of biserial and parallel servers linked to a common server in series with a flowshop scheduling system consisting of two machines. The significant transportation time of the jobs from one machine to another is also considered. Further, the completion time of jobs/customers (waiting time + service time) in the queue network is the set...

This paper appeard in: The main objective of Project Triton is adequate programmability of massively parallel computers. This goal can be achieved by tightly coupling the design of programming languages and parallel hardware. The approach taken in the Project Triton is to let high-level, machine independent parallel programming languages drive the design of parallel hardware. This approach perm...

abstract: this paper considers the problem of scheduling n jobs on m unrelated parallel machines with sequence-dependent setup times. to better comply with industrial situations, jobs have varying due dates and ready times and there are some precedence relations between them. furthermore sequence-dependent setup times and anticipatory setups are included in the proposed model. the objective is ...

Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...

Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...

We review the main research issues and problems in the area of general-purpose, massively parallel MIMD computers. It will be shown that the successful exploitation of this class of systems depends on the ability to deene and experiment with design methodol-ogies taking into account several aspects: abstract machine architecture, physical machine architecture, parallelizing and restructuring to...

This correspondence proposes parallel algorithms on SIMD machines for hierarchical clustering and cluster validity computation. The machine model uses a parallel memory system and an alignment network to facilitate parallel access of both pattern matrix and proximity matrix. For a problem with N patterns, the number of memory accesses is reduced from 0 ( N 3 ) on a sequential machine to 0 ( N 2...