Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 40 for “"Exascale"”.
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Exascale finite/spectral element simulations
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Keeping checkpoint/restart viable for exascale systems
Next-generation exascale systems, those capable of performing a quintillion operations per second, are expected to be delivered in the next 8-10 years. These systems, which will be 1,000 times faster than current systems, will be of unprecedented scale. As these systems continue to grow in size, …
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Parallel algorithms for Monte Carlo particle transport simulation on exascale computing architectures
Monte Carlo particle transport methods are being considered as a viable option for high-fidelity simulation of nuclear reactors. While Monte Carlo methods offer several potential advantages over deterministic methods, there are a number of algorithmic shortcomings that would prevent their immediate …
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Modeling exascale data generation and storage for the large hadron collider computing network
The Large Hadron Collider (LHC) is the world's largest and highest energy particle accelerator. With the particle collisions produced at the LHC and measured with the Compact Muon Solenoid (CMS) detector, the CMS experimental group performs precision measurements and general searches for new …
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High-Performance Visualization for Astronomy and Cosmology: Refactoring and Parallelization of VisIVO Server for Exascale Systems [Visualizzazione ad Alte Prestazioni per l’Astronomia e la Cosmologia: Refactoring e Parallelizzazione di VisIVO Server per Sistemi Exascale]
La crescita esponenziale dei volumi di dati nei campi dell’astronomia e della cosmologia pone sfide significative per la visualizzazione e l’analisi dei dati. Questa tesi affronta tali sfide evolvendo VisIVO Server, una suite software scientifica per la visualizzazione di dati astrofisici …
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Energy and Performance Models Enabling Design Space Exploration using Domain Specific Languages
With the advent of exascale architectures maximizing performance while maintaining energy consumption within reasonable limits has become one of the most critical design constraints. This constraint is particularly significant in light of the power budget of 20 MWatts set by the U.S. Department of …
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Power and energy management of modern architectures in adaptive HPC runtime systems
… that current technology trends will not provide Exascale performance within a reasonable power budget in near future. Hardware innovations such as the proposed Exascale architectures and Near Threshold Computing are expected to improve power efficiency significantly, but more innovations are …
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Declarative Analytics on Heterogeneous HPC Systems
The emergence of exascale systems marks a transforming era in high-performance computing (HPC) powered by extensive use of GPUs. GPGPU's popularity in HPC, due to performance gains and power efficiency, demands redesigning traditional algorithms to exploit GPU parallelism. However, declarative …
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The parallel intermediate language
… of supercomputers will be the transition to exascale systems. However, while the move from terascale to petascale processing was considered evolutionary, it is widely believed that the leap to exascale supercomputers will require revolutionary advances. Simply scaling up current technology …
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Scalable collective message-passing algorithms
… for process-partitioning and remapping for exascale systems that has far better time and space scaling than known algorithms. Our evaluations predict an improvement of up to 60x for large exascale systems and arbitrary reduction in the large temporary buffer space required for generating new …
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Optimizing Barnes-Hut simulations for many-core super computers using the scalable parallel runtime
It is now generally accepted that the road to Exascale Super Computing will no doubt include increasing core counts on individual compute nodes. The Scalable Parallel Runtime (SPR) is a project being developed at Sandia National Laboratories which attempts to address the challenge of efficiently …
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Low-overhead scheduling for improving performance of scientific applications
… useful for future machines approaching exascale.
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A container-based lightweight fault tolerance framework for high performance computing workloads
… it may be less than 60 minutes for future exascale systems. One of the largest studies on HPC system failures showed that more than 50% of failures were due to hardware, and that failure rates grew with system size. Hence, running extended workloads on such systems is becoming more …
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Optimizing parallel I/O performance of HPC applications
… We expect this problem to be compounded on exascale class machines, which will likely have a deeper software stack with hierarchically arranged hardware resources. We present a line of solution to this problem containing an autotuning system for optimizing I/O performance, I/O performance …
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Auto-tuned optimized parallel I/O for GIScience and spatial applications
… computing systems as we are heading towards the Exascale era. An unprecedented amount of data is being produced everyday by different sources. On the other hand, the computation power of HPC systems is getting scaled to hundreds of thousands cores. However, for an application to be able to …
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Failure avoidance techniques for HPC systems based on failure prediction
… that high performance computing will reach exascale within a decade, decreasing the mean time between failures to one day or even a few hours, making fault tolerance a major challenge for the HPC community. As a consequence, current research is focusing on providing fault tolerance …
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Kokkos-enhanced ExaMPI
… for further optimizations in heterogeneous Exascale architectures. Besides showing the current state of the prototype, we describe future goals, and show how these mesh both with a possible future C++ API for MPI-5 as well as the potential for accelerating MPI on architectures that …
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Accelerating messages by avoiding copies using RDMA in an asynchronous parallel runtime system
With the advent of Exascale computing, the number and size of messages is expected to increase greatly. One sided communication with the help of Remote Direct Memory Access (RDMA) supported hardware is the natural choice for large messages as it has proven to provide reduced latencies and increased …
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Towards a New Directive-based Tasking API for Distributed Systems
… at the University of Houston. Targeted for exascale computing, TagHit combines the benefits of task-based programming models with the simplicity of directive-based programming styles. This thesis tackles task creation and scheduling in TagHit. First, I present an overview of six existing …
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Resiliency of high-performance computing systems: A fault-injection-based characterization of the high-speed network in the blue waters testbed
… rates are expected to significantly increase on exascale systems to the point where traditional application-level checkpointing may no longer be a viable fault tolerance mechanism. This poses serious ramifications for a system's ability to guarantee reliability and availability of its resources. …
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