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Implementation and Analysis of Nonblocking Collective Operations on SCI Networks Christian Kaiser Torsten Hoefler Boris Bierbaum, Thomas Bemmerl Scalable Coherent Interface (SCI) Ringlet: IEEE Std 1596-1992 Memory Coupled Clusters


  1. Implementation and Analysis of Nonblocking Collective Operations on SCI Networks Christian Kaiser Torsten Hoefler Boris Bierbaum, Thomas Bemmerl

  2. Scalable Coherent Interface (SCI) Ringlet: • IEEE Std 1596-1992 • Memory Coupled Clusters • Data Transfer: PIO and DMA 2D Torus: • SISCI User-Level Interface • 16 x Intel Pentium D, 2.8 GHz • SCI: D352 (IB: Mellanox DDR x4) 2 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  3. Collective Operations: GATHER source destination Process 0 A Process 1 (root) B A B C D Process 2 C Process 3 D 3 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  4. Collective Operations: GATHERV source destination Process 0 A Process 1 (root) B A B C D Process 2 C Process 3 D 4 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  5. Collective Operations: ALLTOALL source destination Process 0 A0 A1 A2 A3 A0 B0 C0 D0 Process 1 (root) B0 B1 B2 B3 A1 B1 C1 D1 Process 2 C0 C1 C2 C3 A2 B2 C2 D2 Process 3 D0 D1 D2 D3 D3 A3 B3 C3 D3 5 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  6. Collective Operations: ALLTOALLV source destination Process 0 A0 A1 A2 A3 A0 B0 C0 D0 Process 1 (root) B0 B1 B2 B3 A1 B1 C1 D1 Process 2 C0 C1 C2 C3 A2 B2 C2 D2 Process 3 D0 D1 D2 D3 A3 B3 C3 D3 6 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  7. The SCI Collectives Library Purpose: • Study collective communication algorithms for SCI clusters • Support multiple MPI libraries: Open MPI, NMPI • Support arbitrary communication libraries: LibNBC 7 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  8. Nonblocking Collectives (NBC) Purpose: Overlap of Computation and Communication 8 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  9. NBC in MPI MPI-2.0 JoD: Split Collectives MPI_BCAST_BEGIN(buffer, count, datatype, root, comm) MPI_BCAST_END(buffer, comm) MPI-2.1: • Implement with nonblocking Point-to-Point operations • Blocking collectives in separate thread MPI-3 Draft: MPI_IBCAST(buffer, count, datatype, root, comm, request) MPI_WAIT(request, status) 9 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  10. LibNBC FFT CG PC LibNBC IB scicoll MPI support adapter support scicoll SISCI pthreads MPI 10 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  11. Rationale: NBC for SCI So far: • Promising results with NBC via LibNBC • Research done on InfiniBand clusters Therefore: What about a very different network architecture? Implementation considerations: • Use algorithms different from blocking version? • PIO vs DMA • Use background thread? 11 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  12. Available Benchmarks for LibNBC API Synthetic: NBCBench: measures the communication overhead / overlap potential Application Kernels: • CG (Alltoallv): 3D Grid, overlaps computation with halo zone exchange • PC (Gatherv): overlaps compression with gathering of previous results • FFT (Alltoall): parallel matrix transpose, overlaps data exchange for z transpose with computation for x and y 12 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  13. Gather(v) • Underlying concept: Hamiltonian Path in a 2D torus • Algorithms: Binary Tree, Binomial Tree, Flat Tree, Sequential Transmission 13 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  14. Gather(v)/Alltoall(v) Gather(v): • Additional progress thread: Binary Tree (PIO), Binomial Tree (PIO), Flat Tree (PIO), Sequential Transmission (PIO, DMA) • Single Thread with manual progress: Sequential Transmission • Vector Variant: Flat Tree and Sequential Transmission Alltoall(v): • Additional progress thread: Bruck (PIO), Pairwise Exchange (PIO), Ring (PIO), Flat Tree (PIO) • Single Thread with manual progress: Pairwise Exchange (DMA) • Vector Variant:Pairwise Exchange, Flat Tree 14 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  15. Application Kernels: Algorithms CG (Alltoallv) PC (Gatherv) FFT (Alltoall) 15 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  16. Communication Overhead (NBCBench) Gather 16 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  17. Communication Overhead (NBCBench) Alltoall 17 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  18. Application Kernels: Performance CG (Alltoallv) PC (Gatherv) FFT (Alltoall) 18 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  19. Conclusion What we‘ve done: Implement nonblocking Gather(v) and Alltoall(v) collective opera-tions on SCI clusters with different algorithms and implementation alternatives What we found out: • Applications can benefit from nonblocking collectives on SCI clusters in spite of inferior DMA performance • Best implementation method: DMA in a single thread, PIO is usually used for blocking collectives • Issues with multiple threads 19 Chair for Operating Systems Nonblocking Collectives for SCI Networks

  20. The End Thank you for your attention! 20 Chair for Operating Systems Nonblocking Collectives for SCI Networks

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