PPT-Power-Efficient Medical Image Processing using PUMA

Ganesh Dasika Kevin Fan 1 Scott Mahlke 1 Parakinetics Inc University of Michigan Advanced Computer Architecture Laboratory The Advent of the GPGPU Increasingly popular substrate for HPC. Embedded CPU-GPU Architectures. Xuntao Cheng. , Bingsheng He, Chiew Tong Lau. Nanyang Technological University, Singapore. 1. Outline. Motivations. System Design. Evaluations. Conclusion. 2. Query Processing in the Era of IoT. Puma DenAnne Yagi - MNRThe PumaThe Puma is an extremely elusive animal and the chances of encountering one are very slim. It is important to remember that the puma plays an important role in our ecosy Pumice Depth Below . Water . as a Function of Time. Behnaz. Hosseini. Havre, MESH . and Pumice Experiments. P. umice deposits from 2012 . Kermadec. Islands submarine eruption north of New Zealand. Havre caldera samples collected by MESH team using remotely operated vehicle Jason. Federica Caselli. . Department of Civil Engineering University . of Rome Tor . Vergata. Corso. . di. . Modellazione. e . Simulazione. . di. . Sistemi. . Fisiologici. Medical Imaging. X-Ray. CT. The Reconnaissance Strike . Group . (RSG). Information Briefing . on the . Reconnaissance Strike Group. as stipulated in the FY 17 National Defense Authorization Bill. Douglas . Macgregor, PhD. Colonel (ret) U.S. Army. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. Divya Spandana . Marneni. Agenda. What is Big Data. Big Data and image processing. Why to analyze big images. Complexity involved in processing. Hadoop Image processing framework. Image Retrieval in big data. Commercial Update. February 28, 2019. Copyright 2019 Puma Biotechnology. Forward-Looking Safe Harbor Statement. 2. This presentation contains forward-looking statements, including statements regarding the timing of expected reimbursement and coverage decisions and regulatory approvals for NERLYNX. All statements other than historical facts are forward–looking statements and are based on the current expectations, forecasts and assumptions of Puma Biotechnology, Inc. (“Puma”). Forward–looking statements involve risks and uncertainties that could cause Puma’s actual results to differ materially from the anticipated results and expectations expressed in these forward-looking statements. These risk and uncertainties are identified in Puma’s Annual Report on Form 10-K for the year ended December 31, 2018 and any subsequent documents Puma files with the Securities and Exchange Commission. You are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof, and you should not rely on these forward-looking statements as representing Puma’s views as of any date subsequent to the date of this presentation. Puma assumes no obligation to update these forward-looking statements, except as required by law.  . Stijn Eyerman, Wim Heirman, Ibrahim Hur, Joshua B. Fryman. 2. DARPA HIVE project. “To build a graph analytics processor that can process streaming graphs 1000X faster and at much lower power than current processing technology”. Puma concolorMichael Durham/Nature Picture LibraryProposal SummaryPuma concolorLinnaeus 1771 is a large slender American cat species known by a myriad of names including cougar mountain lion catamount 1 INTRODUCTIONImage processing is the frequently used technique in vast areas like medical image astronomical data analysisand so on The collection of images is increased to petabytes in last few Recognition Vol.7, No. 2 (2014), pp. 3 89 - 3 9 8 http://dx.d oi.org/10.14257/ijsip.2014.7. 2 . 3 6 ISSN: 2005 - 4254 IJSIP Copyright ⓒ 201 4 SERSC Extraction of Optic Cup in Retinal Fundus image