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 314 for “"HPC"”.
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Declarative Analytics on Heterogeneous HPC Systems
… 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 languages, like Datalog, can directly …
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Adaptive load balancing for HPC applications
… To address the load imbalance problem, many HPC applications employ dynamic load balancing algorithms to redistribute the work and balance the load. Therefore, performing load balancing is necessary to achieve high performance. Different application characteristics warrant different load …
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Configurable Hierarchical Allreduce Algorithms for HPC Systems
Collective communication is a critical component of large scale scientific applications across all message size ranges. However, optimizing performance in the small to medium message regime is especially challenging because both bandwidth and latency influence efficiency. Many workloads, including …
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Optimizing parallel I/O performance of HPC applications
… component of modern High Performance Computing (HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC platforms is a major challenge, in part because of complex inter-dependencies between I/O middleware and hardware. The parallel file system and I/O middleware …
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Optimization of communication intensive applications on HPC networks
Communication is a necessary but overhead inducing component of parallel programming. Its impact on application design and performance is due to several related aspects of a parallel job execution: network topology, routing protocol, suitability of algorithm being used to the network, job …
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Relational Computing Using HPC Resources: Services and Optimizations
Computational epidemiology involves processing, analysing and managing large volumes of data. Such massive datasets cannot be handled efficiently by using traditional standalone database management systems, owing to their limitation in the degree of computational efficiency and bandwidth to scale …
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Beyond Monitoring: Proactive Server Preservation in an HPC Environment
… when to act. In a High Performance Computing (HPC) environment, someof these failures can have a ripple effect, affecting a larger area than the physicalproblem. Furthermore, some temperature and load swings can be more drastic in anHPC environment than they would be otherwise. Because of this …
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An Integrated End-User Data Service for HPC Centers
… supercomputers, High Performance Computing (HPC) cyber-infrastructure, Enterprise databases, and experimental facilities such as large-scale particle colliders, are pushing the envelope on dataset sizes. Supercomputing centers routinely generate and consume ever increasing amounts of data …
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An Application-Attuned Framework for Optimizing HPC Storage Systems
High performance computing (HPC) is routinely employed in diverse domains such as life sciences, and Geology, to simulate and understand the behavior of complex phenomena. Big data driven scientific simulations are resource intensive and require both computing and I/O capabilities at scale. There …
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I/O Throughput Prediction for HPC Applications Using Darshan Logs
As most High Performance Computing (HPC) applications deal with large volumes of data, I/O performance is of critical importance to optimize application performance. Despite having large-scale, high-performance parallel file systems, many applications still suffer from poor I/O performance. …
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Failure avoidance techniques for HPC systems based on failure prediction
… making fault tolerance a major challenge for the HPC community. As a consequence, current research is focusing on providing fault tolerance strategies that aim to minimize fault's effects on applications. By far, the most popular and used techniques from this field are rollback-recovery protocols. …
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Learning-based scheduling for ray-based Hybrid HPC-Cloud Systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Galaxy evolution, cosmology and HPC : clustering studies applied to astronomy
Tools to measure clustering are essential for analysis of Astronomical datasets and can potentially be used in other fields for data mining. The Two-point Correlation Function (TPCF), in particular, is used to characterize the distribution of matter and objects such as galaxies in the Universe. …
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Green HPC : a system design approach to energy-efficient datacenters
Green HPC is the new standard for High Performance Computing (HPC). This has now become the primary interest among HPC researchers because of a renewed emphasis on Total Cost of Ownership (TCO) and the pursuit of higher performance. Quite simply, the cost of operating modern HPC equipment can …
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Algorithms and Frameworks for Accelerating Security Applications on HPC Platforms
… mappings of cybersecurity applications onto HPC platforms may significantly underutilize the HPC devices' capacities. On the other hand, the sophisticated implementations are quite difficult: they require both in-depth understandings of cybersecurity domain-specific characteristics and HPC …
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MASFENON: a multi-agent HPC framework for dynamic simulations of interconnected complex systems [MASFENON: un framework HPC multi-agente per simulazioni dinamiche di sistemi complessi interconnessi]
… scalabilità ed efficienza sulle architetture HPC. La sua flessibilità ne consente l'applicazione in molteplici ambiti, dalla biologia unicellulare all'epidemiologia, fino ai sistemi sociali ed economici, offrendo una risoluzione temporale e strutturale senza precedenti. La tesi mira a creare …
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Optimizing performance under thermal and power constraints for HPC data centers
… and resilience are the major challenges that the HPC community faces in moving to larger supercomputers. Data centers worldwide consumed energy equivalent to 235 billion kWh in 2010. A significant portion of that energy and power consumption is devoted to cooling. This thesis proposes a scheme …
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Scalable message-logging techniques for effective fault tolerance in HPC applications
… emerge as the High Performance Computing (HPC) community aims to reach extreme scale. Resilience and energy consumption are two of those challenges. Extreme-scale machines are expected to have a high failure frequency. This is an inevitable consequence of the mismatch between two trends. …
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Common-case optimized memory hierarchy for data centers and HPC systems
… data centers and high performance computing (HPC) systems; as such, it is time to rethink memory system designs. Conventional memory system designs in existing systems often seek to provide uniform performance across time and space. While this design approach is simple, which benefits hardware …
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