349 research outputs found

    A formal descriptive theory of software-based creative practice

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    PhDCreative artefacts, from concert posters to architectural plans, are often created in entirely software-based workflows. Software tools can be easily made to record all user interactions, thereby capturing the observable part of creative practice. Although recording software-based creative practice is easy, analysing it is much harder. This is especially true if one wishes to analyse the cognitive process that underlies the recorded creative practice. There are currently no clear methods for the analysis of recorded creative practice, nor are there any suitable theories of the cognition underlying creative practice that can serve as the basis for the development of such methods. This thesis develops a formal descriptive theory of the cognition underlying software-based creative practice, with the aim of informing the development of analysis of recorded creative practice. The theory, called the Software-based Creative Practice Framework (SbCPF), fits with extended and predictive views of cognition. It characterises creative practice as a process of iteratively working from an abstract idea to a concrete artefact, whereby the required lowlevel detail to decide on action is imagined in flight, during practice. Furthermore, it argues that this iterative just-in-time imagination is necessary, because of the predictive nature of the mind. The SbCPF was developed through the use of a novel method for the analysis of creative practice displayed in video tutorials. This method is based on Grounded Theory, Rhetorical Structure Theory, Gesture Theory, Category Theory, and a novel taxonomy describing the relation of action to speech. The method is applied to produce a grounded theory of the creative practice of 3D modelling and animation with the Blender software. The grounded theory forms the basis of the aforementioned formal theory. Finally, the formal theory is further illustrated, evaluated, and explored by way of implementing a computational model.Queen Mary University of London, and the EPSRC Centre for Doctoral Training in Media and Arts Technology EP/G03723X/

    Freeform User Interfaces for Graphical Computing

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    報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

    Depict: A Tool to Represent Classroom Scenarios

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    A functional version of Depict can be found at www.lessonsketch.orgThis document describes design features of Depict, a web based software that allows users to represent classroom scenarios using comics. The document provides the conceptual bases of the design and a description of the user interface. The document also sketches out a direction for further development.This work has been done with support from NSF grants ESI-0353285 and DRL- 0918425 to Patricio Herbst.http://deepblue.lib.umich.edu/bitstream/2027.42/87949/1/Depict_2011.pdf-

    Acta Cybernetica : Volume 25. Number 2.

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    Architectural Principles for Database Systems on Storage-Class Memory

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    Database systems have long been optimized to hide the higher latency of storage media, yielding complex persistence mechanisms. With the advent of large DRAM capacities, it became possible to keep a full copy of the data in DRAM. Systems that leverage this possibility, such as main-memory databases, keep two copies of the data in two different formats: one in main memory and the other one in storage. The two copies are kept synchronized using snapshotting and logging. This main-memory-centric architecture yields nearly two orders of magnitude faster analytical processing than traditional, disk-centric ones. The rise of Big Data emphasized the importance of such systems with an ever-increasing need for more main memory. However, DRAM is hitting its scalability limits: It is intrinsically hard to further increase its density. Storage-Class Memory (SCM) is a group of novel memory technologies that promise to alleviate DRAM’s scalability limits. They combine the non-volatility, density, and economic characteristics of storage media with the byte-addressability and a latency close to that of DRAM. Therefore, SCM can serve as persistent main memory, thereby bridging the gap between main memory and storage. In this dissertation, we explore the impact of SCM as persistent main memory on database systems. Assuming a hybrid SCM-DRAM hardware architecture, we propose a novel software architecture for database systems that places primary data in SCM and directly operates on it, eliminating the need for explicit IO. This architecture yields many benefits: First, it obviates the need to reload data from storage to main memory during recovery, as data is discovered and accessed directly in SCM. Second, it allows replacing the traditional logging infrastructure by fine-grained, cheap micro-logging at data-structure level. Third, secondary data can be stored in DRAM and reconstructed during recovery. Fourth, system runtime information can be stored in SCM to improve recovery time. Finally, the system may retain and continue in-flight transactions in case of system failures. However, SCM is no panacea as it raises unprecedented programming challenges. Given its byte-addressability and low latency, processors can access, read, modify, and persist data in SCM using load/store instructions at a CPU cache line granularity. The path from CPU registers to SCM is long and mostly volatile, including store buffers and CPU caches, leaving the programmer with little control over when data is persisted. Therefore, there is a need to enforce the order and durability of SCM writes using persistence primitives, such as cache line flushing instructions. This in turn creates new failure scenarios, such as missing or misplaced persistence primitives. We devise several building blocks to overcome these challenges. First, we identify the programming challenges of SCM and present a sound programming model that solves them. Then, we tackle memory management, as the first required building block to build a database system, by designing a highly scalable SCM allocator, named PAllocator, that fulfills the versatile needs of database systems. Thereafter, we propose the FPTree, a highly scalable hybrid SCM-DRAM persistent B+-Tree that bridges the gap between the performance of transient and persistent B+-Trees. Using these building blocks, we realize our envisioned database architecture in SOFORT, a hybrid SCM-DRAM columnar transactional engine. We propose an SCM-optimized MVCC scheme that eliminates write-ahead logging from the critical path of transactions. Since SCM -resident data is near-instantly available upon recovery, the new recovery bottleneck is rebuilding DRAM-based data. To alleviate this bottleneck, we propose a novel recovery technique that achieves nearly instant responsiveness of the database by accepting queries right after recovering SCM -based data, while rebuilding DRAM -based data in the background. Additionally, SCM brings new failure scenarios that existing testing tools cannot detect. Hence, we propose an online testing framework that is able to automatically simulate power failures and detect missing or misplaced persistence primitives. Finally, our proposed building blocks can serve to build more complex systems, paving the way for future database systems on SCM

    New hardware support transactional memory and parallel debugging in multicore processors

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    This thesis contributes to the area of hardware support for parallel programming by introducing new hardware elements in multicore processors, with the aim of improving the performance and optimize new tools, abstractions and applications related with parallel programming, such as transactional memory and data race detectors. Specifically, we configure a hardware transactional memory system with signatures as part of the hardware support, and we develop a new hardware filter for reducing the signature size. We also develop the first hardware asymmetric data race detector (which is also able to tolerate them), based also in hardware signatures. Finally, we propose a new module of hardware signatures that solves some of the problems that we found in the previous tools related with the lack of flexibility in hardware signatures

    The new era of e-learning: mobile learning & interactive class for the new curriculum

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