Machine: sgs-r815-03

CPU: AMD Opteron(tm) Processor 6378
Number of cores: 32
NUMA configuration: 8x4

Topology Information

TODO: likwid input here

Pairwise Data

The topology information gives us a rough understanding of the expected performance. We complement this with real measurements conducted on the hardware. For this purpose, we use ''pairwise'' a micro benchmark that ping-pongs messages between any combination of cores.

The benchmark measures the send, receive and roundtrip times, i.e. the time it takes until smlt_qp_send() or smlt_qp_recv() return.

Send

RTT

Message Passing micro benchmark

A comparison of this benchmark can be found on this page.

We now show the results of our micro benchmarks. For reference, see bench/ab-bench in the Smelt directory.

Multicast benchmark

A comparison of this benchmark can be found on this page.

We now show the results of our micro benchmarks for multicasts. For reference, see bench/ab-bench-scale in the Smelt directory.

Showing plot ab.

Showing plot reduction.

Showing plot barriers.

Showing plot agreement.

Collective operations

A comparison of this benchmark can be found on this page.

The following is a benchmark for collective operations in MPI, OpenMP and Smelt.

EPCC benchmark

A comparison of this benchmark can be found on this page.

Execution of the EPCC benchmark with gcc's unmodified OpenMP compared to an instance using Smelt's barrier.

Showing plot csv.

Barrier throughput micro-benchmarks (5.4)

A comparison of this benchmark can be found on this page.

We now show the results of our micro benchmarks measuringperformance of multicasts given a round-robin vs. fillingthread to core allocation strategy.

PARSEC Streamcluster

A comparison of this benchmark can be found on this page.

PARSEC Streamcluster solves the online clustering problem. We execute it with various barrier implementations and report the runtime.