University at Buffalo

UB Undergraduate Academic Schedule: Fall 2017


  • This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB. Information about HUB can be found at www.buffalo.edu/hub


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    CSE 470LR - Intro Pdp
    Lecture
    Intro Pdp ZOL Enrollment Information (not real time - data refreshed nightly)
    Class #:   <<<  >>>   Enrollment Capacity:   10
    Section:   ZOL   Enrollment Total:   7
    Credits:   4.00 credits   Seats Available:   3
    Dates:   08/28/2017 - 12/08/2017   Status:   OPEN
    Days, Time:   M W F , 4:00 PM - 4:50 PM
    Room:   Cooke 127A view map
    Location:   North Campus      
    Chained Courses
    You must register in one of the class(es) below to get the above section:
    Enrollment Requirements
    Prerequisites: Pre-Requisite: CSE 331 and Approved Computer Science, Computer Engineering, and Bioinformatics/CS Majors only
      Course Description
    This course is intended for students interested in the efficient use of modern parallel systems ranging from multi-core and many-core processors to large-scale distributed memory clusters. The course puts equal emphasis on the theoretical foundations of parallel computing and practical aspects of different parallel programming models. It begins with a survey of common parallel architectures and types of parallelism, and then follows with an overview of formal approaches to assess scalability and efficiency of parallel algorithms and their implementations. In the second part, the course covers the most common and current parallel programming techniques and APIs, including for shared address space, many-core accelerators, distributed memory clusters and big data analytics platforms. Each component of the course involves solving practical computational and data driven problems, ranging from basic algorithms like sorting or searching, to graphs and numerical data analysis.
      Instructor(s)
                 Zola, J look up    
      On-line Resources
    Other Courses Taught By: Zola, J