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.
Results
Showing 1 to 13 of 13 for “"Exascale Computing"”.
-
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 …
-
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 …
-
Towards a New Directive-based Tasking API for Distributed Systems
Programming for large-scale computing requires programming models carefully designed for that purpose. MPI is often the model of choice for distributed systems, but writing MPI program is time-consuming and complicated to maintain and debug as the program size gets larger. Moreover, MPI does not …
-
Advanced System-Scale and Chip-Scale Interconnection Networks for Ultrascale Systems
… towards realizing next-generation petascale and exascale computing is increasingly dependent on building supercomputers with unprecedented numbers of processors. Given the rise of multicore processors, the number of network endpoints both on-chip and off-chip is growing exponentially, with …
-
Mitigating variability in HPC systems and applications for performance and power efficiency
… future generation large-scale High Performance Computing (HPC) data centers. For example, current production petaflop supercomputers consume more than 10 megawatts of machine and cooling power that costs millions of dollars every year. As HPC moves towards exascale computing, these costs will …
-
Scalable and Tunable Algorithms for Adaptive All-to-all Data Exchange
… has grown considerably with the advent of exascale computing, as they serve as critical communication primitives for numerous large-scale applications. These include data-driven machine learning, graph mining, fast Fourier transform, quantum computer simulations, and certain advanced …
-
Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems
The demands of exascale computing systems and applications have pushed for a rapid, continual design paradigm coupled with increasing design complexities from the interaction between the application, the middleware, and the underlying system hardware, which forms a breeding ground for inefficiency. …
-
Productive Programming Systems for Heterogeneous Supercomputers
… cores. The first wave of throughput-oriented computing came in the mid 2000's with the use of GPUs for general-purpose and scientific computing. Today we are entering the second wave of throughput-oriented computing, with the introduction of NVIDIA Pascal GPUs, Intel Knights Landing Xeon Phi …
-
GPU-Oriented Algorithms for Continuous Energy Monte Carlo Neutron Transport
… of graphics processing units (GPUs) has brought computing to new heights with deep learning models, now deployed ubiquitously and touching the lives of many. While GPU hardware may be ideal for deep learning, its full potential in various scientific computing applications has yet to be realized. …
-
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
-
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 …
-
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
-
Energy Proportional Future Chip-to-chip Computing Interconnect Designs
… to build a flexible, reconfigurable board-level computing platform with enhanced resource consumption and energy efficiency. Optical interconnects feature high IO capacity, distance-independent energy consumption, and low-delay connection. Optical linking fabric allows comprehensive customization …