4. wide variety of 5. a variety of may be stored for data, including data, analytical future uses satellite and modeling 4. provenance tools to support (and persistent climate and analytics for identification weather data, diverse scientific (PID)) control of photos, video, communities. data, algorithms, sound 6. parallel data and workflows streams and 5. curated recordings… 5. multi-type data streaming (authorized) combination and analytics reference data linkage 7. access and (i.e. species potentially integration of names lists), unlimited data multiple algorithms, variety distributed software code, 6. data streaming databases workflows -- -- 1. GPU -- -- -- -- 2. high performance MPI Deep and HPC Learning Infiniband cluster 3. libraries for single-machine or single-GPU computation are available (e.g., BLAS, CuBLAS, MAGMA, etc.), distributed computation of dense BLAS-like or LAPACK-like 26 operations on GPUs remains poorly developed. Existing solutions (e.g., ScaLapack for CPUs) are not well-integrated with higher level languages and require low-level programming which lengthens experiment and development time. 1. over 500M 1. classifier (e.g. 1. Hadoop or 1. visualize 1. preserve -- -- images uploaded a Support Vector enhanced large-scale 3-d privacy for users to social media Machine), a MapReduce reconstructions, and digital rights 27 sites each day process that is and navigate for media. often hard to large-scale parallelize. collections of 2. features seen images that have
4. wide variety of data, including satellite climate and weather data, photos, video, sound recordings… 5. multi-type data combination and linkage potentially unlimited data variety 6. data streaming 5. a variety of data, analytical and modeling tools to support analytics for diverse scientific communities. 6. parallel data streams and streaming analytics 7. access and integration of multiple distributed databases may be stored for future uses 4. provenance (and persistent identification (PID)) control of data, algorithms, and workflows 5. curated (authorized) reference data (i.e. species names lists), algorithms, software code, workflows 26 Deep Learning -- -- 1. GPU 2. high performance MPI and HPC Infiniband cluster 3. libraries for single-machine or single-GPU computation are available (e.g., BLAS, CuBLAS, MAGMA, etc.), distributed computation of dense BLAS-like or LAPACK-like operations on GPUs remains poorly developed. Existing solutions (e.g., ScaLapack for CPUs) are not well-integrated with higher level languages and require low-level programming which lengthens experiment and development time. -- -- -- -- 27 1. over 500M images uploaded to social media sites each day 1. classifier (e.g. a Support Vector Machine), a process that is often hard to parallelize. 2. features seen 1. Hadoop or enhanced MapReduce 1. visualize large-scale 3-d reconstructions, and navigate large-scale collections of images that have 1. preserve privacy for users and digital rights for media. -- --