Supercomputing

EpiClone: Epidemiological Clonable Simulations

Cloned simulations of epidemiological outbreaks like COVID-19 can now rapidly evaluate millions of what-if scenarios at national and world scales, and efficiently exploit 1000s of GPUs.
Jan 1, 2022
EpiClone: Epidemiological Clonable Simulations
CloneX

Cloned eXecution of simulations is a powerful decision-making system to incrementally evaluate millions of what-if scenarios and scale to 1000s of GPUs.
Jan 1, 2022
CloneX
Computer Science Research Needs for Parallel Discrete Event Simulation (PDES)
This report captures a computer science-oriented view of research in PDES and important PDES applications. Needs are outlined in core areas of PDES research as well as cross-cutting directions that positively impact scientific advancements. A selection of priority research directions in advanced computing for PDES is identified for scientific advancements.
PDF Cite DOI
Computer Science Research Needs for Parallel Discrete Event Simulation (PDES)
Mesoscopic Modeling and Rapid Simulation of Incremental Changes in Epidemic Scenarios on GPUs: Fast What–If Analyses of Localized and Dynamic Effects
A mesoscopic modeling approach is described that strikes a middle ground between macroscopic models based on coupled differential equations and microscopic models built on fine-grained behaviors at the individual entity level. Execution of our implementation scaled to 8192 GPUs of supercomputing platforms demonstrates the ability to rapidly evaluate what–if scenarios several orders of magnitude faster than the conventional methods.
PDF Cite DOI
Mesoscopic Modeling and Rapid Simulation of Incremental Changes in Epidemic Scenarios on GPUs: Fast What–If Analyses of Localized and Dynamic Effects
Generating Massive Scale-free Networks: Novel Parallel Algorithms using the Preferential Attachment Model
We present a message passing interface-based distributed memory parallel algorithms for generating random scale-free networks using the preferential-attachment model. The algorithms have been exercised in scale and speed to generate scale-free networks with one trillion edges in 6 minutes using 1,000 PEs.
PDF Cite DOI
Generating Massive Scale-free Networks: Novel Parallel Algorithms using the Preferential Attachment Model
Energy Conservation Through Cloned Execution Of Simulations
HPC facilities used for scientific computing draw enormous energy, consuming many megawatt-hours. Using simulation cloning, we reduce energy consumption and track the power drawn by thousands of GPUs, achieving significant aggregate energy savings from cloned simulations.
PDF Cite DOI
Energy Conservation Through Cloned Execution Of Simulations
Towards Native Execution of Deep Learning on a Leadership-Class HPC System
In this paper, we report and analyze performance results from native execution of deep learning on a leadership-class high-performance computing (HPC) system. Using our new code called DeepEx, we present a study of the parallel speed up and convergence rates of learning achieved with native parallel execution. Scaling results are reported from execution on up to 15,000 GPUs using two scientific data sets from atom microscopy and protein folding applications, and also using the popular ImageNet data set.
PDF Cite DOI
Towards Native Execution of Deep Learning on a Leadership-Class HPC System
Scalable Cloning on Large-Scale GPU Platforms with Application to Time-Stepped Simulations on Grids
Cloning is a technique to efficiently simulate a tree of multiple what-if scenarios that are unraveled during the course of a base simulation. We present the conceptual simulation framework, algorithmic foundations, and runtime interface of CloneX, a new system we designed for scalable simulation cloning.
PDF Cite DOI
Scalable Cloning on Large-Scale GPU Platforms with Application to Time-Stepped Simulations on Grids
Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor Cores
Global virtual time (GVT) computation is a key determinant of the efficiency and runtime dynamics of parallel discrete event simulations (PDES)…
PDF Cite
Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor Cores
Introduction to Reversible Computing
This tutorial provides an introduction to the concept of reversible computing, adopting an expanded view…
PDF Cite Slides
Introduction to Reversible Computing
Parallel Discrete Event Simulation
This tutorial introduces the fundamental principles and algorithms underlying parallel/distributed discrete event simulation (PDES)…
PDF Cite Slides
Parallel Discrete Event Simulation
Simulating Billion-Task Parallel Programs
In simulating large parallel systems, bottom-up approaches exercise detailed hardware models with effects from simplified software models or traces, …
PDF Cite
Simulating Billion-Task Parallel Programs
Parallel Simulation on Supercomputers
This tutorial introduces the typical hardware and software characteristics of extant and emerging supercomputing systems…
PDF Cite
Parallel Simulation on Supercomputers