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 346 for “"GPUs"”.
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Improving Simulation Performance With Gpus
… we have used Graphics Processing Units (GPUs) to accelerate the solution of the types of equations typically encountered in dynamic system simulators. Compared to commercial matrix solvers that run on a CPU, we realized speedups ranging from 5 (for system size =700) to 460 (for system …
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Reducing Cache Contention On GPUs
The usage of Graphics Processing Units (GPUs) as an application accelerator has become increasingly popular because, compared to traditional CPUs, they are more cost-effective, their highly parallel nature complements a CPU, and they are more energy efficient. With the popularity of GPUs, many …
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Hosting LLMs on Shared GPUs
… of applications. Serving multiple LLMs on shared GPUs has increasingly gained attention as single providers need to support multiple applications (summarization, chat, code generation), different model versions (A/B testing), and various types of customers. However, multi-model serving is …
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Impact Of Thread Scheduling On Modern Gpus
The Graphics Processing Unit (GPU) has become a more important component in high-performance computing systems as it accelerates data and compute intensive applications significantly with less cost and power. The GPU achieves high performance by executing massive number of threads in parallel in a …
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Power And Hotspot Modeling For Modern GPUs
As General Purpose GPUs (GPGPU) are increasingly becoming a prominent component of high performance computing platforms, power and thermal dissipation are getting more attention. The trade-offs among performance, power, and heat must be well modeled and evaluated from the early stage of GPU design. …
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Accelerating Graphics Rendering on RISC-V GPUs
<p>Graphics Processing Units (GPUs) are commonly used to accelerate massively parallel workloads across a wide range of applications from machine learning to cryptocurrency mining. The original application for GPUs, however, was to accelerate graphics rendering which remains popular today through …
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Managing scalable direct storage accesses for GPUs
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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High performance DFS-based subgraph enumeration on GPUs
… large graphs since the memory capacity of GPUs is significantly lower than that of CPUs. In this thesis, we propose a fast GPU-based solution based on depth-first traversal of the search tree. The depth-first approach requires less memory but presents more challenges for parallel execution. …
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3-D Computational Investigation of Viscoelastic Biofilms using GPUs
… this behavior, then use numerical simulations on GPUs to investigate the biofilm’s growth and its hydrodynamics properties.</p>
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Parallel acceleration of deadlock detection and avoidance algorithms on GPUs
Current mainstream computing systems have become increasingly complex. Most of which have Central Processing Units (CPUs) that invoke multiple threads for their computing tasks. The growing issue with these systems is resource contention and with resource contention comes the risk of encountering a …
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Evaluation and Performance Optimization of Virtual Memory Support for GPUs
Οι σύγχρονες Μονάδες Επεξεργασίας Γραφικών (GPUs) βασίζονται στην υποστήριξη εικονικής μνήμης και τη σελιδοποίηση για τη διαχείριση της μνήμης τους. Ωστόσο, η επιβάρυνση της μετάφρασης εικονικών διευθύνσεων σε πραγματικές παραμένει ένα κρίσιμο σημείο συμφόρησης της απόδοσης εφαρμογών, που …
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Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)
… more speci cally on Graphics Processing Units or GPUs. Algorithms for every step in these methods are proposed and benchmarked with varied results. The ultimate goal of this work is to speed up the topology optimization process by means of parallel computing using o -the-shelf hardware. To further …
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Toward predictable execution of real-time workloads on modern GPUs
… processors. Graphics processing units (GPUs) are a cost-effective solution to serve such systems. The high throughput and energy efficiency offered by GPUs has led to their widespread adoption. Most real-time systems today have multiple tasks utilizing the GPU, and GPUs are getting …
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Characterization of containers in emerging applications: Microservices, FAAS and GPUS
Containers have enabled new computing paradigms such as Functions-as-a- Service in data centers today. Containers are inherently more lightweight than virtual machines. This is caused by the fact that containers share the kernel with the host system, removing the need for a two-dimensional page …
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Toward performance portability for CPUS and GPUS through algorithmic compositions
This Dissertation was approved for publication on 2017-07-05 at 16:09.
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Analysis of performance/accuracy tradeoffs for floating point applications on GPUS
Floating-point computations produce approximate results, which can lead to inaccuracy problems. Existing work addresses two issues: first, the design of high precision floatingpoint representations; second, the study of methods to trade-off accuracy and performance of serial CPU applications. …
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Performance Evaluation of Blocking and Non-Blocking Concurrent Queues on GPUs
… data structures. Graphics Processing Units (GPUs) have appeared as a powerful platform for high-performance computing. As regular data-parallel computations are straightforward to implement on traditional CPU architectures, it is challenging to implement them in a SIMD environment in the …
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Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA
… methods on traditional CPU systems as well as on GPUs; give the reader background on basic CUDA programming for GPUs; discuss performance characteristics of GPUs; we give recommended design choices for GPU implementations of Hermite methods; and present and discuss examples which illustrate the …
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Heterogeneous Acceleration for 5G New Radio Channel Modelling Using FPGAs and GPUs
L'abstract è presente nell'allegato / the abstract is in the attachment
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High-Performancs Sparse Matrix-Vector Multiplication on GPUS for Structured Grid Computations
In this thesis, we address efficient sparse matrix-vector multiplication for matrices arising from structured grid problems with high degrees of freedom at each grid node. Sparse matrix-vector multiplication is a critical step in the iterative solution of sparse linear systems of equations arising …
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