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 144 for “"supercomputers"”.
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Productive Programming Systems for Heterogeneous Supercomputers
… memory, and software stacks of future supercomputers. As a result, it will be necessary to combine many different programming models and libraries in a single application. How to do so in a programmable and well-performing manner is an open research question. This thesis addresses this …
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Automating Topology Aware Mapping for Supercomputers
Performance improvements through topology aware placement for applications such as NAMD and OpenAtom are used to motivate this work. Building on these ideas, the dissertation proposes algorithms and techniques for automatic mapping of parallel applications to relieve the application developers of …
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Speculative ray scheduling for large data visualization on supercomputers
Scientific ray tracing now can include realistic shading and material properties, but tracing rays through partitioned data to calculate global illumination is inefficient because of the I/O overhead incurred by rays migrating from one partition to another. For such data, ray scheduling methods …
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Simulation-based performance analysis and tuning for future supercomputers
… and real applications expected to run on future supercomputers. Future peta-scale systems will have more than 100,000 cores, and we present simulations at that scale.
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Innovative Methods for Solving Multicomponent Biogeochemical Groundwater Transport on Supercomputers
To evaluate the performance of the Jacobian-Free Newton-Krylov method, PARTRAN was used to simulate enhanced in situ bioremediation of subsurface NAPL (non-aqueous phase liquid) contamination on the ASCI Q supercomputer at Los Alamos National Laboratory, on which a study of parallel …
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Vector and parallel algorithms for chemical process simulation on supercomputers
… advantage of the power of modern parallel-vector supercomputers.
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Hierarchical sparse computations and communications for solving inverse problems on supercomputers with multi-GPU nodes
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01
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Self-scheduling, data synchronization and program transformation for multiprocessor systems
… has led to the development of multiprocessor supercomputers. Although large tightly-coupled shared-memory multiprocessor systems have become feasible, such systems cannot be considered successful, unless their numerous processors can coordinate with each other efficiently for a wide range of …
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The parallel intermediate language
The next challenge in the evolution 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 …
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Three -Dimensional Discrete Element Simulation for Granular Materials
BLOKS3D is parallelized with OpenMP on NCSA supercomputers to seek higher computational speed, and a speed up ratio of 3∼5 has been achieved. The largest size simulations involve more than 97,000 particles.
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Hierarchically Tiled Arrays as high-level programming abstractions for dataflow runtime systems
In the foreseeable future, high-performance supercomputers will continue to evolve in the direction of attempting to build distributed, immensely parallel and highly heterogeneous machines. It is well known that in order to utilize these machines, good parallel programs are essential. However, …
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Parallel and vector algorithms in nonlinear structural dynamics using the finite element method
… conducted using the Alliant FX/8 and Convex C240 supercomputers. The research focuses on four main areas: (1) The development of element computation algorithms so that the inherent opportunities for concurrency and vectorization present in the finite element method can be exploited. Optimizing …
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Mitigation of failures in high performance computing via runtime techniques
… in scale, it is predicted that failure rates of supercomputers will correspondingly increase. Even though the mean time to failure (MTTF) of individual component is high, the large number of components significantly decreases the system MTTF. Meanwhile, the decreasing size of transistors has been …
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Development of a Parallel Electrostatic PIC Code for Modeling Electric Propulsion
… to run large simulations on the world fastest supercomputers as well as home mode clusters. Plasma simulations are extremely computationally intensive as they require tracking millions of particles and solving field equations over large domains. This new parallel version will allow Coliseum to …
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Reducing Interprocessor Communication in Parallel Architectures: System Configuration and Task Assignment
Most future supercomputers will be based on parallel processing architectures. Currently, many applications with sufficient parallelism cannot efficiently run on large parallel processing systems because interprocessor communication and synchronization significantly degrade performance. …
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Matrix multiplication with Asynchronous Logic Automata
A longstanding trend in supercomputing is that as supercomputers scale, they become more difficult to program in a way that fully utilizes their parallel processing capabilities. At the same time they become more power-hungry - today's largest supercomputers each consume as much power as a town of …
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Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases
… and processing. The resource management of supercomputers is in conflict with the data-intensive nature of spatio-temporal analytics. This is further exacerbated due to the fact that the data management is decoupled from the computing resources. Problems of these nature has provided great …
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Accelerating Astrophysical Simulations with GPUs: A Case Study of Radiative Transfer in arepo-rt
… physics. The recent emergence of exascale supercomputers, equipped with extensive CPU cores and GPU accelerators, offers new opportunities for enhancing RHD simulations. We present the first steps towards optimizing the RHD solver AREPO-RT for such high-performance computing environments. …
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Time-to-Event Modeling with Bayesian Perspectives and Applications in Reliability of Artificial Intelligence Systems
… of graphics processing units (GPUs) used in supercomputers. The model considers several covariates, the spatial correlation, and the correlation among multiple types of failures. In addition, unique spatial correlation functions and a special distance function are introduced to quantify the …
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Performance observability
… with respect to parallel processing and supercomputers, have brought a crisis in performance observation--computer systems technology is outpacing the tools to understand the performance behavior of and to operate the machines near the high-end of their performance range. In this thesis, …
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