This master thesis first discusses the basics of parallel computing, after which several linear least-squares methods and several numerical optimization methods are investigated these methods are compared and the most suitable methods for parallel computing are implemented and tested for increasing. Processing elements – processor pes number of processing elements 15 organization of the thesis the rest of this thesis is structured into seven sections as follows the next section gives a survey of existing parallel architectures and discusses general principles for the parallel algorithm design this section should. For improving this thesis additional thanks go to the other members of the cell solutions team with whom i worked at tj watson - gordon braudaway, daniele scarpazza, fabrizio petrini, and virat agarwal - for sharing with me some of the secrets of cell/be programming i owe thanks to rosa badia and xavier martorell,. Computers today are becoming more and more parallel general purpose processors (cpus) have multiple processing cores and single instruction multiple data (simd) units for data-parallelism graphics processors (gpus) bring massive parallelism at the cost of being harder to program than cpus this thesis applies. Many typical robotics problems involve search in high-dimensional spaces, where real-time execution is hard to be achieved this thesis presents two case studies of parallel computation in such robotics problems more specifically, two problems of motion planning-the inverse kinematics of robotic manipulators and path.
This thesis investigates a model of parallel programming based on the bird- meertens formalism (bmf) this is a set of higher-order functions, many of which are implicitly parallel programs are expressed in terms of functions borrowed from bmf a parallel implementation is de ned for each of these functions for a. This thesis presents a parallel programming model based on the gradual introduction of im- plementation detail it comprises a series of decision stages that each fix a different facet of the implementation the initial stages of the model elide many of the parallelisation concerns, while later stages allow low-level control over. Abstract we develop a generic programming language for parallel algorithms, one that works for all data structures and control structures we show that any pa.
I received my phd from the department of computer science at the university of illinois at urbana-champaign my advisor was prof laxmikant v kale my research interests include anything that has something to do with parallel programming, high performance computing, cloud computing my phd thesis was focused on. Support for an iterator finally, we propose a programming paradigm that facilitates the use of hardware transactional memory (htm) with concurrent data structures, and particularly with concurrent data structures that provide a progress guarantee 1 technion - computer science department - phd thesis phd- 2015-06 -. Citation delorimier, michael john (2013) graph parallel actor language : a programming language for parallel graph algorithms dissertation (phd), california institute of technology : 08192012-145253489. This thesis presents a streaming block-parallel programming language for describing applications with hard real-time constraints and several transformations for paral- lelizing and mapping such applications to many-core architectures the language parameterizes the data movement within the application in such a manner.
Parallel computing and parallel programming models: application in digital image processing on mobile systems and personal mobile devices university of oulu department of information processing science bachelor's thesis ari ruokamo 3112018. Abstract this thesis explores several issues that arise in the design and implementation of virtual-memory systems for data-parallel computing chapter 1 presents an overview of virtual memory for data-parallel computing the chapter lists some applications that may benefit from large address spaces in a data- parallel. Synchronization architecture in parallel programming models phd thesis arturo gonz´alez escribano supervisors: valentın carde˜noso payo (univ valladolid) arie jc van gemund (tu delft) july, 2003 1. 33 parallel programming systems in this thesis parallelization is going to be used to increase the speed of the calculations the following sections includes descriptions of possible ways to do this parallel computing is the use of a parallel computer to speed up the compu- tation of a single problem.
This master's thesis by markus konrad analyzes the potentials of gpgpu on mobile devices such as smartphones or tablets the question was, if and how the gpu on such devices can be used to speed up certain algorithms especially in the fields of image processing gpu computing technologies such. Parallel computing parallel programming memory classification outline 1 story of computing the beginning need for speed 2 hegelian dialectics thesis moore's law amdahl's law anti thesis 3 parallel computing key concepts 4 parallel programming parallel decomposition n body problem.
This thesis studies how certain popular algorithms in the field of image and audio pro- cessing can be accelerated on mobile devices by means of parallel execution on their graphics processing unit (gpu) several technologies with which this can be achieved are compared in terms of possible. The paper presents and tests efficient algorithms for the stable marriage problem both on shared memory computers and gpus the remainder of this thesis consists of the following parts: section 2 provides a short overview of parallel computing systems graphics processors are presented in section 3.
Moreover, some data-parallel operations inherently require more work for some elements of the collection than others – we say that no data-parallel operation has a uniform workload in practice this thesis presents a novel technique for parallelizing highly irregular computation workloads, called the work-stealing tree. This thesis investigates this claim from a programming perspective that is, it investigates parallel programming using functional languages the approach taken has been to determine the minimum programming which is necessary in order to write efficient parallel programs this has been attempted without. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that. Posed many solutions to help scientists to write parallel code these solutions range from automated parallelization to parallel programming languages[4, 5 6] however, the primary focusses of this thesis are a distributed shared mem- ory ( dsm) model and a communicating sequential processes (csp).