Papers by COMPUTER RESEARCH
Lecture Notes in Computer Science, 2021
We present The Large Instrument Performers Study, an interview-based exploration into how large s... more We present The Large Instrument Performers Study, an interview-based exploration into how large scale acoustic instrument performers navigate the instrument's size-related aesthetic features during the performance. Through the conceptual frameworks of embodied music cognition and affordance theory, we discuss how the themes that emerged in the interview data reveal the ways size-related aesthetic features of large acoustic instruments influence the instrument performer's choices; how large scale acoustic instruments feature microscopic nuanced performance options; and how despite the preconception of large scale acoustic instruments being scaled up versions of the smaller instrument with the addition of a lower fundamental tone, the instruments offer different sonic and performative features to their smaller counterparts and require precise gestural control that is certainly not scaled up. This is followed by a discussion of how the study findings could influence design features in new large scale digital musical instruments to result in more nuanced control and timbrally rich instruments, and better understanding of how interfaces and instruments influence performers' choices and as a result music repertoire and performance.
proposed designs, and increasingly the techniques for modeling physical phenomena are being adapt... more proposed designs, and increasingly the techniques for modeling physical phenomena are being adapted to model the behavior of complex human creations, including economies and societies. These efforts demand not only vast computer power in an easily accessible form, but new modes of interacting with the results of the computation, with vast data stores, and with other researchers. The work proposed here builds on Millenium, a large Intel equipment donation to promote high performance computing. We call our new proposal SimMillenium to reflect our goal of providing a holistic solution, from hardware to networks to software to human interaction, for supporting a community of scientists focused on problems that require large scale simulation and modeling. A system is a collection of computational resources within a user community. Thus a central organizational principle of SimMillenium is that of a computational economy. This market-based perspective steers us away from t
Workload Characterization of Emerging Computer Applications, 2001
The large input datasets in the SPEC 2000 benchmark suite result in unreasonably long simulation ... more The large input datasets in the SPEC 2000 benchmark suite result in unreasonably long simulation times when using detailed execution-driven simulators for evaluating future computer architecture ideas. To address this problem, we have an ongoing project to reduce the execution times of the SPEC 2000 benchmarks in a quantitatively defensible way. Upon completion of this work 1 , we will have smaller input datasets for several SPEC 2000 benchmarks. The programs using our reduced input datasets will produce execution profiles that accurately reflect the program behavior of the full reference dataset, as measured using standard statistical tests. In the process of reducing and verifying the SPEC 2000 benchmark datasets, we also obtain instruction mix, memory behavior, and instructions per cycle characterization information about each benchmark program.
A Testing Environment for Video-Based Multiview Computer Vision Research
We describe the methodology, design considerations and practical implementation of an environment... more We describe the methodology, design considerations and practical implementation of an environment used in developing and testing video-based, multiview computer vision algo- rithms. The environment we have built is composed by a variety of heterogeneous hard- ware devices for acquisition and display, connected together into a coherent system by object-oriented software components. Much attention has been paid into the development
The output subsystem collects data from a running microsimulation, stores the data for future use... more The output subsystem collects data from a running microsimulation, stores the data for future use, and manages the subsequent retrieval of the data. It forms a layer separating the other subsystems from the actual data files so that the other subsystems do not need to access the data files at the physical level or deal with the physical location and organization of the files. This subsystem also allows the user to specify what data is collected and retrieved, and to filter it by space and time. The collection occurs in a distributed manner such that the subsystem's impact on the microsimulation performance is minimized; the retrieval provides a unified view of the distributed data.
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Papers by COMPUTER RESEARCH