29 citations · 58 across the 9 of their papers we have counts for
10 papers
Uniting Control and Data Parallelism: Towards Scalable Memory-Driven Dynamic Graph Processing
Bibrak Qamar Chandio, Thomas Sterling, Prateek Srivastava
Control parallelism and data parallelism is mostly reasoned and optimized as separate functions. Because of this, workloads that are irregular, fine-grain and dynamic such as dynam…
Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks
Bruno Magalhães, Michael Hines, Thomas Sterling +1
State-of-the-art simulations of detailed neural models follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, equivalent…
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Jeremy Kepner, Ron Brightwell, Alan Edelman +10
The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is…
DASHMM Accelerated Adaptive Fast Multipole Poisson-Boltzmann Solver on Distributed Memory Architecture
B. Zhang, J. DeBuhr, D. Niedzielski +3
We present an updated version of the AFMPB package for fast calculation of molecular solvation-free energy. The main feature of the new version is the successful adoption of the DA…
Neutron Star Evolutions using Tabulated Equations of State with a New Execution Model
Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser +2
The addition of nuclear and neutrino physics to general relativistic fluid codes allows for a more realistic description of hot nuclear matter in neutron star and black hole system…
Adaptive Mesh Refinement for Astrophysics Applications with ParalleX
Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser +2
Several applications in astrophysics require adequately resolving many physical and temporal scales which vary over several orders of magnitude. Adaptive mesh refinement techniques…