Results 71 to 80 of about 3,147,688 (366)
Perovskite Microwires for Room Temperature Exciton‐Polariton Neural Network
Exciton‐polaritons are explored as a novel platform for optical neuromorphic computing at room temperature using a monocrystalline perovskite waveguide. Demonstrating non‐equilibrium Bose‐Einstein condensation, this work achieves machine learning tasks such as classification and object detection, marking a key advance toward energy‐efficient, practical
Andrzej Opala +9 more
wiley +1 more source
Alleviating the software parallelization task
Despite decades of research into parallelizing compiler technology, software parallelization remains a largely manual task, which is complex, time-consuming, and error-prone. An embarrassingly parallel problem can be hidden behind a serial algorithm, thoughtless software design, or unsuccessfully chosen lower-level constructs, such as data structures ...
openaire +2 more sources
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley +1 more source
In this paper, we propose a model-based workflow to generate parallel code on a multiple instruction stream, multiple data stream (MIMD) processor with vector accelerator (MIMDV) from a Simulink model. Solving data- and task-parallelism is crucial during
Shanwen Wu +3 more
doaj +1 more source
Mapping the Join Calculus to Heterogeneous Hardware [PDF]
As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform.
Peter Calvert, Alan Mycroft
doaj +1 more source
Online Admission of Parallel Real-Time Tasks [PDF]
6th Real-Time Scheduling Open Problems Seminar (RTSOPS 2015), Lund, Sweden.No abstract (2 page paper) Parallel real-time tasks can be assigned into a multiprocessor system in many different ways, with regards to the schedulability of the task ...
Maia, Cláudio +2 more
core
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Puppet is a great tool for making changes on systems, and ensuring that those changes happen. But Puppet is not intended to make this happen on many systems at the same time. Puppet is intended for eventual compliance over time. Each agent checks in over a period of time, al- lowing the puppetmaster to process only a few at a time.
openaire +2 more sources
Scheduling parallel tasks on hypercubes [PDF]
The authors consider the problem of non-pre-emptively scheduled independent parallel tasks with communication overhead on a d-dimensional hypercube system. To find a schedule such that the schedule length is minimised is NP-hard. Therefore, a simple heuristic algorithm is investigated and its performance boundary is derived as (2+In m-1/m), where m=2 ...
Lin, J.-F., Chen, S.-J.
openaire +2 more sources
SWIFT: Using Task-Based Parallelism, Fully Asynchronous Communication, and Graph Partition-Based Domain Decomposition for Strong Scaling on more than 100,000 Cores [PDF]
We present a new open-source cosmological code, called SWIFT, designed to solve the equations of hydrodynamics using a particle-based approach (Smooth Particle Hydrodynamics) on hybrid shared / distributed-memory architectures.
M. Schaller +3 more
semanticscholar +1 more source

