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Thursday, March 5 • 11:45 - 12:05
Facilities, Infrastructure & Data II: “Large-Data Software Defined Visualization on CPUs,” Gregory S. Johnson, Gregory P. Johnson and Ingo Wald, Intel

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The computational capability of CPUs is rapidly advancing, with increasing core counts, and increasing computational resources per core. At the same time, the capacity of high-speed memory accessible to the CPU (both on package and near-package) is growing exponentially over time. In this talk, we discuss how these trends strongly favor memory-intensive workloads with a high degree of parallelism such as large-data scientific visualization. We describe a low-level, open source software layer for high performance visualization directly on CPUs (without the need for high-end graphics processors), and show how this library can be used in new and existing applications through a straightforward API. Using this library, it is feasible to render large-scale data with high image quality, and performance comparable to (and in some cases greater than) that of top-ofthe-line GPUs. We also briefly discuss the scalability, resource flexibility, and potential cost advantages of such an approach


Gregory S. Johnson

Graphics Software Engineer, Intel Corporation

Thursday March 5, 2015 11:45 - 12:05 CST
BioScience Research Collaborative 6500 Main Street, Houston, Tx 77005

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