Publications related to Maxwell (microarchitecture)

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Strong gravitational lensing is a powerful probe of cosmology and the dark matter distribution. Efficient lensing software is already a necessity to fully use its potential and the performance demands will only increase with the upcoming generation of tele ...

ELSEVIER2020

LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching

Babak Falsafi, Mario Paulo Drumond Lages De Oliveira, Hamid Sarbazi-Azad, Seyed Borna Ehsani

Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high power consumption, ...

2018

Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks

Alfio Quarteroni, Christian Vergara, Toni Mikael Lassila

Cardiac Purkinje fibers provide an important pathway to the coordinated contraction of the heart. We present a numerical algorithm for the solution of electrophysiology problems across the Purkinje network that is efficient enough to be used in in silico s ...

Wiley2017

Micromechanics of Amorphous Metal/Polymer Hybrid Structures with 3D Cellular Architectures: Size Effects, Buckling Behavior, and Energy Absorption Capability

Stefano Mischler, Johann Michler, Cédric Frantz

By designing advantageous cellular geometries and combining the material size effects at the nanometer scale, lightweight hybrid microarchitectured materials with tailored structural properties are achieved. Prior studies reported the mechanical properties ...

Wiley-V C H Verlag Gmbh2017

A portable platform for accelerated PIC codes and its application to GPUs using OpenACC

Laurent Villard, Stephan Brunner, Emmanuel Lanti, Trach-Minh Tran, Claudio Gheller

We present a portable platform, called PIC_ENGINE, for accelerating Particle-In-Cell (PIC) codes on heterogeneous many-core architectures such as Graphic Processing Units (GPUs). The aim of this development is efficient simulations on future exascale syste ...

Elsevier Science Bv2016

MATHICSE Technical Report : Improved hybrid/GPU algorithm for solving cardiac electro-physiology problems on Purkinje networks

Alfio Quarteroni, Christian Vergara, Toni Mikael Lassila

The cardiac Purkinje fibres provide an important stimulus to the coordinated contraction of the heart. We present a numerical algorithm for the solution of electrophysiology problems on the Purkinje network that is efficient enough to be used on realistic ...

MATHICSE2016

An explicit dynamics GPU structural solver for thin shell finite elements

Nicola Parolini, Andrea Bartezzaghi

With the availability of user oriented software tools, dedicated architectures, such as the parallel computing platform and programming model CUDA (Compute Unified Device Architecture) released by NVIDIA, one of the main producers of graphics cards, and of ...

Elsevier2015

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice Parallel Video Decoders on Multicore Systems

Pascal Frossard, David Atienza Alonso, Karim Kanoun

We consider the problem of energy-efficient on-line scheduling for slice-parallel video decoders on multicore systems. We assume that each of the processors are Dynamic Voltage Frequency Scaling (DVFS) enabled such that they can independently trade off per ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Attaining Single-Chip, High-Performance Computing Through 3D Systems with Active Cooling

David Atienza Alonso, Mohamed Mostafa Sabry Aly, Ayse Kivilcim Coskun, Jie Meng

Three-dimensional (3D) stacking is an attractive method for designing large manycore chips as it provides high transistor integration densities, improves manufacturing yield due to smaller chip area, reduces wirelength and capacitance, and enables heteroge ...

Institute of Electrical and Electronics Engineers2011

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Maxwell (microarchitecture)

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching

Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks

Micromechanics of Amorphous Metal/Polymer Hybrid Structures with 3D Cellular Architectures: Size Effects, Buckling Behavior, and Energy Absorption Capability

A portable platform for accelerated PIC codes and its application to GPUs using OpenACC

MATHICSE Technical Report : Improved hybrid/GPU algorithm for solving cardiac electro-physiology problems on Purkinje networks

An explicit dynamics GPU structural solver for thin shell finite elements

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice Parallel Video Decoders on Multicore Systems

Attaining Single-Chip, High-Performance Computing Through 3D Systems with Active Cooling

Graph Chatbot

Chat with Graph Search

Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice Parallel Video Decoders on Multicore Systems

Micromechanics of Amorphous Metal/Polymer Hybrid Structures with 3D Cellular Architectures: Size Effects, Buckling Behavior, and Energy Absorption Capability

A portable platform for accelerated PIC codes and its application to GPUs using OpenACC

MATHICSE Technical Report : Improved hybrid/GPU algorithm for solving cardiac electro-physiology problems on Purkinje networks

An explicit dynamics GPU structural solver for thin shell finite elements

Attaining Single-Chip, High-Performance Computing Through 3D Systems with Active Cooling

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs