Sentence examples for massively parallel devices from inspiring English sources

If solid-state nanopores can be made to work, existing chipmaking technology could then be used to create massively parallel devices for well below $100 a chip, he says.Others are also looking at solid-state nanopores, including Jene Golovchenko at Harvard University, with whom Oxford Nanopore is also collaborating, and NabSys, a spin-out from Brown University in Rhode Island.

GPU is a massively parallel device, with a significant number of processing cores, whose processing ability can be exploited for general purpose use in high arithmetic intensity algorithms, where the parallel nature of its architecture can be exploited to maximum benefit.

It explores BICAS in the context of creating new massively parallel computing devices.

The GPU is a massively parallel computing device.

In this contribution, we report on a completely technology-independent and graph-theoretical approach for the VLSI design of massively parallel MRF processing devices.

This device architecture presents not only an opportunity for massively parallel patterned circuits with devices the size of an individual nanotube diameter, but also the potential for multi-state switching devices with the selective incorporation of various ferromagnetic catalyst nanoparticles of different coercive fields within the same porous anodized aluminum oxide array.

We have designed and fabricated a microfluidic reactor array device for massively parallel in situ synthesis of oligonucleotides (oDNA).

Neuromorphic computing based on three-dimensional inetgraed circuits (3D-NCs) offers a novel hardware implementation of neuromorphic computing, and provides high device density, massively parallel signal processing capability, low power consumption, and direct analog signal processing capability.

In CUDA, the GPU is viewed as a computing device with massively parallel capability (e.g., supporting tens of thousands of concurrent threads).

Since version 4.0 of the specification OpenMP addresses this heterogeneity in computing with the target directives, which enable programmers to offload portions of the code to massively-parallel target devices.

The ease of fabrication and integration of pneumatic microvalves has enabled extensive miniaturization of microfluidic devices capable of performing massively parallel operations.