Matching Items (262)
Description
We are expecting hundreds of cores per chip in the near future. However, scaling the memory architecture in manycore architectures becomes a major challenge. Cache coherence provides a single image of memory at any time in execution to all the cores, yet coherent cache architectures are believed will not scale to hundreds and thousands of cores. In addition, caches and coherence logic already take 20-50% of the total power consumption of the processor and 30-60% of die area. Therefore, a more scalable architecture is needed for manycore architectures. Software Managed Manycore (SMM) architectures emerge as a solution. They have scalable memory design in which each core has direct access to only its local scratchpad memory, and any data transfers to/from other memories must be done explicitly in the application using Direct Memory Access (DMA) commands. Lack of automatic memory management in the hardware makes such architectures extremely power-efficient, but they also become difficult to program. If the code/data of the task mapped onto a core cannot fit in the local scratchpad memory, then DMA calls must be added to bring in the code/data before it is required, and it may need to be evicted after its use. However, doing this adds a lot of complexity to the programmer's job. Now programmers must worry about data management, on top of worrying about the functional correctness of the program - which is already quite complex. This dissertation presents a comprehensive compiler and runtime integration to automatically manage the code and data of each task in the limited local memory of the core. We firstly developed a Complete Circular Stack Management. It manages stack frames between the local memory and the main memory, and addresses the stack pointer problem as well. Though it works, we found we could further optimize the management for most cases. Thus a Smart Stack Data Management (SSDM) is provided. In this work, we formulate the stack data management problem and propose a greedy algorithm for the same. Later on, we propose a general cost estimation algorithm, based on which CMSM heuristic for code mapping problem is developed. Finally, heap data is dynamic in nature and therefore it is hard to manage it. We provide two schemes to manage unlimited amount of heap data in constant sized region in the local memory. In addition to those separate schemes for different kinds of data, we also provide a memory partition methodology.
ContributorsBai, Ke (Author) / Shrivastava, Aviral (Thesis advisor) / Chatha, Karamvir (Committee member) / Xue, Guoliang (Committee member) / Chakrabarti, Chaitali (Committee member) / Arizona State University (Publisher)
Created2014
Description
Immunosignaturing is a medical test for assessing the health status of a patient by applying microarrays of random sequence peptides to determine the patient's immune fingerprint by associating antibodies from a biological sample to immune responses. The immunosignature measurements can potentially provide pre-symptomatic diagnosis for infectious diseases or detection of biological threats. Currently, traditional bioinformatics tools, such as data mining classification algorithms, are used to process the large amount of peptide microarray data. However, these methods generally require training data and do not adapt to changing immune conditions or additional patient information. This work proposes advanced processing techniques to improve the classification and identification of single and multiple underlying immune response states embedded in immunosignatures, making it possible to detect both known and previously unknown diseases or biothreat agents. Novel adaptive learning methodologies for un- supervised and semi-supervised clustering integrated with immunosignature feature extraction approaches are proposed. The techniques are based on extracting novel stochastic features from microarray binding intensities and use Dirichlet process Gaussian mixture models to adaptively cluster the immunosignatures in the feature space. This learning-while-clustering approach allows continuous discovery of antibody activity by adaptively detecting new disease states, with limited a priori disease or patient information. A beta process factor analysis model to determine underlying patient immune responses is also proposed to further improve the adaptive clustering performance by formatting new relationships between patients and antibody activity. In order to extend the clustering methods for diagnosing multiple states in a patient, the adaptive hierarchical Dirichlet process is integrated with modified beta process factor analysis latent feature modeling to identify relationships between patients and infectious agents. The use of Bayesian nonparametric adaptive learning techniques allows for further clustering if additional patient data is received. Significant improvements in feature identification and immune response clustering are demonstrated using samples from patients with different diseases.
ContributorsMalin, Anna (Author) / Papandreou-Suppappola, Antonia (Thesis advisor) / Bliss, Daniel (Committee member) / Chakrabarti, Chaitali (Committee member) / Kovvali, Narayan (Committee member) / Lacroix, Zoé (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study focuses on implementing probabilistic nature of material properties (Kevlar® 49) to the existing deterministic finite element analysis (FEA) of fabric based engine containment system through Monte Carlo simulations (MCS) and implementation of probabilistic analysis in engineering designs through Reliability Based Design Optimization (RBDO). First, the emphasis is on experimental data analysis focusing on probabilistic distribution models which characterize the randomness associated with the experimental data. The material properties of Kevlar® 49 are modeled using experimental data analysis and implemented along with an existing spiral modeling scheme (SMS) and user defined constitutive model (UMAT) for fabric based engine containment simulations in LS-DYNA. MCS of the model are performed to observe the failure pattern and exit velocities of the models. Then the solutions are compared with NASA experimental tests and deterministic results. MCS with probabilistic material data give a good prospective on results rather than a single deterministic simulation results. The next part of research is to implement the probabilistic material properties in engineering designs. The main aim of structural design is to obtain optimal solutions. In any case, in a deterministic optimization problem even though the structures are cost effective, it becomes highly unreliable if the uncertainty that may be associated with the system (material properties, loading etc.) is not represented or considered in the solution process. Reliable and optimal solution can be obtained by performing reliability optimization along with the deterministic optimization, which is RBDO. In RBDO problem formulation, in addition to structural performance constraints, reliability constraints are also considered. This part of research starts with introduction to reliability analysis such as first order reliability analysis, second order reliability analysis followed by simulation technique that are performed to obtain probability of failure and reliability of structures. Next, decoupled RBDO procedure is proposed with a new reliability analysis formulation with sensitivity analysis, which is performed to remove the highly reliable constraints in the RBDO, thereby reducing the computational time and function evaluations. Followed by implementation of the reliability analysis concepts and RBDO in finite element 2D truss problems and a planar beam problem are presented and discussed.
ContributorsDeivanayagam, Arumugam (Author) / Rajan, Subramaniam D. (Thesis advisor) / Mobasher, Barzin (Committee member) / Neithalath, Narayanan (Committee member) / Arizona State University (Publisher)
Created2012
Description
Illuminating Silent Voices: An African-American Contribution to the Percussion Literature in the Western Art Music Tradition will discuss how Raymond Ridley's original composition, FyrStar (2009), is comparable to other pre-existing percussion works in the literature. Selected compositions for comparison included Darius Milhaud's Concerto for Marimba, Vibraphone and Orchestra, Op. 278 (1949); David Friedman's and Dave Samuels's Carousel (1985); Raymond Helble's Duo Concertante for Vibraphone and Marimba, Op. 54 (2009); Tera de Marez Oyens's Octopus: for Bass Clarinet and one Percussionist (marimba/vibraphone) (1982). In the course of this document, the author will discuss the uniqueness of FyrStar's instrumentation of nine single reed instruments--E-flat clarinet, B-flat clarinet, alto clarinet, bass clarinet, B-flat contrabass clarinet, B-flat soprano saxophone, alto saxophone, tenor saxophone, and B-flat baritone saxophone, juxtaposing this unique instrumentation to the symbolic relationship between the ensemble, marimba, and vibraphone.
ContributorsThompson, Darrell Irwin (Author) / Sunkett, Mark E (Thesis advisor) / Bush, Jeffrey (Committee member) / DeMars, James (Committee member) / Little, Bliss (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2012
Description
New music is often created as a product of commissions resulting in a collaborative effort between the performer and the composer. This performer-composer relationship represents an important component of the role of the artist in expanding the repertoire of the instrument. Belgian composer, Norbert Goddaer (b. 1933), has written numerous works for clarinet that are the result of such collaborations. Mr. Goddaer's works for clarinet are well-crafted and audience-friendly, and are thus good programming choices for students and professionals alike. His clarinet works have been performed worldwide in artist recitals, conferences for organizations such as the International Clarinet Association, The Midwest Clinic, and the Texas Music Educators Association, and have been commercially recorded and released by some of the foremost contemporary clarinet artists. These works have a great education value given the fact that they are appropriate choices for such a wide range of clarinetists. In an effort to contribute to this body of performance history, the author has produced a recording of five of Goddaer's previously unrecorded works, accompanied by a performance guide to each work. This document provides detailed performance notes with corresponding musical examples, basic formal analyses, and musical suggestions for Las Mañas, Conversations, Ballad, Duets, and Restless by Norbert Goddaer. The author has included a full transcript of an interview with Norbert Goddaer, which includes a first-person discussion of each work, and additionally includes biographical information supported by concert programs and an annotated list of all of Goddaer's works for clarinet, and a discography of his works for clarinet.
ContributorsClasen, Kevin (Author) / Spring, Robert S (Thesis advisor) / Gardner, Joshua T (Committee member) / Norton, Kay (Committee member) / Hill, Gary (Committee member) / McAllister, Timothy (Committee member) / Arizona State University (Publisher)
Created2012
Description
The number of Brazilian immigrants in the United States has greatly increased over the past three decades. In Phoenix, Arizona, this population increase reveals itself through a greater number of large Brazilian cultural events and higher demand for live Brazilian music. Music is so embedded in Brazilian culture that it serves as the ideal medium through which immigrants can reconnect to their Brazilian heritage. In this thesis, I contend that Brazilian immigrants in Phoenix, Arizona maintain their identity as Brazilians through various activities extracted from their home culture, the most prominent being musical interaction and participation. My research reveals three primary factors which form a foundation for maintaining cultural identity through music within the Brazilian immigrant community in Phoenix. These include the common experiences of immigration, diasporic identity, and the role of music within this diaspora. Music is one of the stronger art forms for representing emotions and creating an experience of relationship and connections. Music creates a medium with which to confirm identity, and makes the Brazilian immigrant population visible to other Americans and outsiders. While other Brazilian activities can also serve to maintain immigrants' identity, it is clear to me from five years of participant-observation that musical interaction and participation is the most prominent and effective means for Brazilians in Phoenix to maintain their cultural identity while living in the U.S. As a community, music unites the experiences of the Brazilian immigrants and removes them from the periphery of life in a new society.
ContributorsSwietlik, Amy (Author) / Solís, Ted (Thesis advisor) / Norton, Kay (Committee member) / Pilafian, Sam (Committee member) / Arizona State University (Publisher)
Created2012
Description
Emily Dickinson is a well-known American poet of the nineteenth century, and her oeuvre consists of nearly 2,000 posthumously published poems. Written largely in hymn form with unique ideas of punctuation and grammar, her poetry attracts composers with its inherent musicality. The twentieth-century American composers Aaron Copland, Ernst Bacon, Lee Hoiby, and Gordon Getty have created song settings of Dickinson's poetry. Copland's song cycle Twelve Poems of Emily Dickinson (1949-50) is admired by many as an illustration of poetry; however, the Dickinson cycles by Bacon, Hoiby, and Getty are also valuable, lesser-known representations of her writing. Settings of one poem, "There came a Wind like a Bugle--", are common among Copland's Twelve Poems, Bacon's cycle Songs from Emily Dickinson: Nature, Time, and Space (1930), Hoiby's Four Dickinson Songs (1988), and Getty's The White Election (1982). These latter three settings have previously undergone some theoretical analysis; however, this paper considers a performance analysis of these songs from a singer's point of view. Chapter 1 provides background for this study. Chapter 2 consists of a biographical overview of Dickinson's life and writing style, as well as a brief literary analysis of "There came a Wind like a Bugle--". Chapters 3, 4, and 5 discuss Ernst Bacon, Lee Hoiby, and Gordon Getty, respectively; each chapter consists of a short biography of the composer and a discussion of his writing style, a brief theoretical analysis of his song setting, and commentary on the merits of his setting from the point of view of a singer. Observations of the depiction of mood in the song and challenges for the singer are also noted. This paper provides a comparative analysis of three solo vocal settings of one Emily Dickinson poem as a guide for singers who wish to begin studying song settings of this poem. The Bacon and Hoiby settings were found to be lyrical, tonal representations of the imagery presented in "There came a Wind like a Bugle--". The Getty setting was found to be a musically starker representation of the poem's atmosphere. These settings are distinctive and worthy of study and performance.
ContributorsCastellone, Amanda Beth (Author) / Doan, Jerry (Thesis advisor) / Kopta, Anne E (Thesis advisor) / Dreyfoos, Dale (Committee member) / Mills, Robert (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2011
Description
Concrete design has recently seen a shift in focus from prescriptive specifications to performance based specifications with increasing demands for sustainable products. Fiber reinforced composites (FRC) provides unique properties to a material that is very weak under tensile loads. The addition of fibers to a concrete mix provides additional ductility and reduces the propagation of cracks in the concrete structure. It is the fibers that bridge the crack and dissipate the incurred strain energy in the form of a fiber-pullout mechanism. The addition of fibers plays an important role in tunnel lining systems and in reducing shrinkage cracking in high performance concretes. The interest in most design situations is the load where cracking first takes place. Typically the post crack response will exhibit either a load bearing increase as deflection continues, or a load bearing decrease as deflection continues. These behaviors are referred to as strain hardening and strain softening respectively. A strain softening or hardening response is used to model the behavior of different types of fiber reinforced concrete and simulate the experimental flexural response. Closed form equations for moment-curvature response of rectangular beams under four and three point loading in conjunction with crack localization rules are utilized. As a result, the stress distribution that considers a shifting neutral axis can be simulated which provides a more accurate representation of the residual strength of the fiber cement composites. The use of typical residual strength parameters by standards organizations ASTM, JCI and RILEM are examined to be incorrect in their linear elastic assumption of FRC behavior. Finite element models were implemented to study the effects and simulate the load defection response of fiber reinforced shotcrete round discrete panels (RDP's) tested in accordance with ASTM C-1550. The back-calculated material properties from the flexural tests were used as a basis for the FEM material models. Further development of FEM beams were also used to provide additional comparisons in residual strengths of early age samples. A correlation between the RDP and flexural beam test was generated based a relationship between normalized toughness with respect to the newly generated crack surfaces. A set of design equations are proposed using a residual strength correction factor generated by the model and produce the design moment based on specified concrete slab geometry.
ContributorsBarsby, Christopher (Author) / Mobasher, Barzin (Thesis advisor) / Rajan, Subramaniam D. (Committee member) / Neithalath, Narayanan (Committee member) / Arizona State University (Publisher)
Created2011
Description
Research on developing new algorithms to improve information on brain functionality and structure is ongoing. Studying neural activity through dipole source localization with electroencephalography (EEG) and magnetoencephalography (MEG) sensor measurements can lead to diagnosis and treatment of a brain disorder and can also identify the area of the brain from where the disorder has originated. Designing advanced localization algorithms that can adapt to environmental changes is considered a significant shift from manual diagnosis which is based on the knowledge and observation of the doctor, to an adaptive and improved brain disorder diagnosis as these algorithms can track activities that might not be noticed by the human eye. An important consideration of these localization algorithms, however, is to try and minimize the overall power consumption in order to improve the study and treatment of brain disorders. This thesis considers the problem of estimating dynamic parameters of neural dipole sources while minimizing the system's overall power consumption; this is achieved by minimizing the number of EEG/MEG measurements sensors without a loss in estimation performance accuracy. As the EEG/MEG measurements models are related non-linearity to the dipole source locations and moments, these dynamic parameters can be estimated using sequential Monte Carlo methods such as particle filtering. Due to the large number of sensors required to record EEG/MEG Measurements for use in the particle filter, over long period recordings, a large amounts of power is required for storage and transmission. In order to reduce the overall power consumption, two methods are proposed. The first method used the predicted mean square estimation error as the performance metric under the constraint of a maximum power consumption. The performance metric of the second method uses the distance between the location of the sensors and the location estimate of the dipole source at the previous time step; this sensor scheduling scheme results in maximizing the overall signal-to-noise ratio. The performance of both methods is demonstrated using simulated data, and both methods show that they can provide good estimation results with significant reduction in the number of activated sensors at each time step.
ContributorsMichael, Stefanos (Author) / Papandreou-Suppappola, Antonia (Thesis advisor) / Chakrabarti, Chaitali (Committee member) / Kovvali, Narayan (Committee member) / Arizona State University (Publisher)
Created2012
Description
Zwischen in the German language means `between,' and over the past century, as operatic voices have evolved in both range and size, the voice classification of Zwischenfach has become much more relevant - particularly to the female voice. Identifying whether nineteenth century composers recognized the growing opportunities for vocal drama, size, and range in singers and therefore wrote roles for `between' singers; or conversely whether, singers began to challenge and develop their voices to sing the new influx of romantic, verismo and grand repertoire is difficult to determine. Whichever the case, teachers and students should not be surprised about the existence of this nebulous Fach. A clear and concise definition of the word Fach for the purpose of this paper is as follows: a specific voice classification. Zwischenfach is an important topic because young singers are often confused and over-eager to self-label due to the discipline's excessive labeling of Fachs. Rushing to categorize a young voice ultimately leads to misperceptions. To address some of the confusion, this paper briefly explores surveys of the pedagogy and history of the Fach system. To gain insights into the relevance of Zwischenfach in today's marketplace, I developed with my advisors, colleagues and students a set of subjects willing to fill out questionnaires. This paper incorporates current interviews from two casting directors of national and international opera houses, an emerging American mezzo-soprano, a mid-career working European mezzo-soprano, an operatic stage director, an education director for opera houses and a composer. These interviews, along with modern examples of zwischenfach voices are analyzed and discussed.
ContributorsAllen, Jennifer, D.M.A (Author) / Norton, Kay (Thesis advisor) / FitzPatrick, Carole (Thesis advisor) / Dreyfoos, Dale (Committee member) / Ryan, Russell (Committee member) / Barefield, Robert (Committee member) / Arizona State University (Publisher)
Created2012