Publications related to Massively parallel

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Machine Learning (ML) is an attractive application of Non-Volatile Memory (NVM) arrays [1,2]. However, achieving speedup over GPUs will require minimal neuron circuit sharing and thus highly area-efficient peripheral circuitry, so that ML reads and writes ...

2017

3D dynamic fragmentation with parallel dynamic insertion of cohesive elements

Jean-François Molinari, Nicolas Richart, Marco Vocialta

Dynamic fragmentation is a rapid and catastrophic failure of a material. During this process, the nucleation, propagation, branching, and coalescence of cracks results in the formation of fragments. The numerical modeling of this phenomenon is challenging ...

2017

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Irem Boybat Kara, Severin Sidler, Carmelo Di Nolfo

In the conventional von Neumann (VN) architecture, data—both operands and operations to be performed on those operands—makes its way from memory to a dedicated central processor. With the end of Dennard scaling and the resulting slowdown in Moore’s law, th ...

Springer India2017

A Class Of Large Global Solutions For The Wave-Map Equation

Joachim Krieger, Elisabetta Chiodaroli

In this paper we consider the equation for equivariant wave maps from R3+1 to S-3 and we prove global in forward time existence of certain C-infinity-smooth solutions which have infinite critical Sobolev norm (H) overdot(3/4) (R-3) x (H) overdot(1/2) (R-3) ...

2017

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

Michael Herzog, Gregory Francis, Mauro Manassi

Investigations of visual crowding, where a target is difficult to identify because of flanking elements, has largely used a theoretical perspective based on local interactions where flanking elements pool with or substitute for properties of the target. Th ...

American Psychological Association2017

Communication-aware adaptive parareal with application to a nonlinear hyperbolic system of partial dierential equations

Jan Sickmann Hesthaven, Allan Svejstrup Nielsen, Gilles Brunner

In the strong scaling limit, the performance of conventional spatial domain decomposition techniques for the parallel solution of PDEs saturates. When sub-domains become small, halo-communication and other overheard come to dominate. A potential path beyon ...

2017

Micro-mechanical finite element modeling of diagonal compression test for historical stone masonry structure

Jean-François Molinari, Katrin Beyer, Nicolas Richart, Shenghan Zhang, Seyedeh Mohadeseh Taheri Mousavi

Simulating the force-deformation behavior of stone masonry is a challenging issue. This paper contributes to this topic by developing a detailed micro-modeling method using extrinsic cohesive elements. To consider contact and friction, a new node-to-node a ...

Elsevier2017

Parallel execution of parsed query based on a concurrency level corresponding to an average number of available worker threads

Anastasia Ailamaki, Iraklis Psaroudakis

Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and ...

2016

Programming Models and Methods for Heterogeneous Parallel Embedded Systems, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Marco Mattavelli, Simone Casale Brunet, Endri Bezati

The growing complexity of digital signal processing applications makes a compelling case for the adoption of higher-level programming models such as dataflow for the implementation of applications on programmable logic devices and many/multi-core embedded ...

2016

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Massively parallel

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

3D dynamic fragmentation with parallel dynamic insertion of cohesive elements

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Efficient Adaptive Hard Real-time Multi-processor Systems

A Class Of Large Global Solutions For The Wave-Map Equation

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

Communication-aware adaptive parareal with application to a nonlinear hyperbolic system of partial dierential equations

Micro-mechanical finite element modeling of diagonal compression test for historical stone masonry structure

Parallel execution of parsed query based on a concurrency level corresponding to an average number of available worker threads

Programming Models and Methods for Heterogeneous Parallel Embedded Systems, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Graph Chatbot

Chat with Graph Search

Parallel execution of parsed query based on a concurrency level corresponding to an average number of available worker threads

A Class Of Large Global Solutions For The Wave-Map Equation

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

Communication-aware adaptive parareal with application to a nonlinear hyperbolic system of partial dierential equations

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Programming Models and Methods for Heterogeneous Parallel Embedded Systems, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

3D dynamic fragmentation with parallel dynamic insertion of cohesive elements

Efficient Adaptive Hard Real-time Multi-processor Systems

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Micro-mechanical finite element modeling of diagonal compression test for historical stone masonry structure