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CIS4930/CDA5125: Parallel and Distributed Systems

CIS4930/CDA5125: Parallel and Distributed Systems. Instructor: Xin Yuan, 168 Love, xyuan@cs.fsu.edu , 4-9133 Office hour: 1:00pm-2:00pm Monday/Wednesday, or by appointment TA: Surjyendu Ray, 101MCH, surjray.ta@gmail.com , Office hour: 10:00am-12:00pm, Thursday Course website:

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CIS4930/CDA5125: Parallel and Distributed Systems

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  1. CIS4930/CDA5125: Parallel and Distributed Systems Instructor: Xin Yuan, 168 Love, xyuan@cs.fsu.edu, 4-9133 Office hour: 1:00pm-2:00pm Monday/Wednesday, or by appointment TA: Surjyendu Ray, 101MCH, surjray.ta@gmail.com, Office hour: 10:00am-12:00pm, Thursday Course website: http://www.cs.fsu.edu/~xyuan/cis4930-cda5125/index.html CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  2. Course objectives Systematically introduce parallel and distributed systems (PDS) and programming Expose contemporary PDS technologies Processors, networking, system software, and programming paradigms Study the trends of technology advances in PDS. At the end of the course, the students are expected to Explain general concepts and important issues in parallel architectures, programming, and algorithms. Understand the challenges in parallel and distributed computing Program with different programming paradigms for different architectures. CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  3. Topics covered • Architecture • Architecture classification • SIMD, MIMD, shared memory (SMP, multicore, SMT, heterogeneous multi-core, many-core), distributed memory (cluster, massively parallel, grid and cloud). • Programming • Vector programming (SSE), Thread, OpenMP, MPI, CUDA, and OpenCL • Algorithm • PRAM, BSP • Advanced • Power and others CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  4. Textbok Required: none Reference books: D. E. Culler and J. P. Singh, "Parallel Computer Architecture, A Hardware/Software Approach," Morgan Kaufmann, 1999. Maurice Herlihy and Nir Shavit, "The Art of Multiprocessor Programming," Morgan Kaufmann, 2008. A significant portion of the course materials come from online resources. MPI: http://www-unix.mcs.anl.gov/mpi/ OpenMP: http://www.openmp.org CUDA: NVIDIA CUDA Programming Guide OpenCL: OpenCL Programming Guide for the CUDA Architecture CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  5. Course schedule (tentative) Week 1: Introduction and architectures classification Week 2: Performance Week 3: SIMD/Vector architectures, SSE and SIMD intrinsics Week 4: Shared memory architectures Week 5: Shared memory programming, thread Week 6: Shared memory programming, OpenMP Week 7: MIMD, distributed memory architectures, MPI Week 8: communication hardware and Interconnection networks Week 9: Stream architectures, CUDA/OpenCL Week 10: CUDA/OpenCL Week 11: CUDA/OpenCL Week 12: Performance monitoring and Optimization Week 13: PRAM and BSP Week 14: Advanced topics Week 15: Project presentations Week 16: Final exam CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  6. Prerequisite • COP 4610: Operating systems • No requirement for background knowledge of parallel and distributed computing • The class is designed to minimized the dependence on COP4610. CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  7. Grading • 25 % - homework, programming assignment, class participation. • Homework includes paper critics • Programming assignments can be done by groups of two. • 25% - course project • Research or development • Groups of two • End product: report, software, and presentation. • 20% - Midterm • 30% - Final • Final target letter grade: half A’s and half B’s. CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  8. Course project • Development projects • Parallelizing a fairly significant application (preferably some well known efficient sequential code). • Evaluation projects • E.g. Evaluating SSE performance on different processors, evaluate different synchronization algorithms on one or more processors • Research projects • Survey an emerging area (e.g. techniques to improve power efficiency in multi-core machines, emerging programming models for multi-core systems). • Develop new techniques in any area of PDS (e.g. new communication algorithms, new synchronization algorithms, new scheduling schemes, etc) CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  9. Course policies • Attendance: required. • Late assignments: not accepted without a valid excuse. • Missed exam: following the university rules. • Let me know when you need to miss an exam ASAP. • Incomplete grade: • Miss the final with an accepted excuse • Due to extraordinary circumstances with appropriate documentation. CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  10. Academic Integrity • No copying from anywhere • Don’t ask others for solutions and don’t give solutions to others. • Violation • The university requires all violations to be reported. • First violation with level 1 agreement: • 0 for the particular assignment/exam and the lowering of one letter (A->B) for course final grade. • Second violation: resolved through the office of the Dean and the Faculties CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

  11. Accommodation for Disabilities • Register with and provide documentation to the Student Disability Resource Center (SDRC). • Bring a letter to me from the SDRC `indicating you need academic accomodations. This should be done within the first week of class CIS4930/CDA5125 Parallel and Distributed Systems Florida State University

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