Escali 4.4 manual Profiling with Scali MPI Connect

3.2.6 Notes on compiling with MPI-2 features		23
3.3	Running Scali MPI Connect programs	23
3.3.1 Naming conventions		23
3.3.2 mpimon - monitor program		24
3.3.3 mpirun - wrapper script		27
3.4	Suspending and resuming jobs	28
3.5	Running with dynamic interconnect failover capabilities	28
3.6	Running with tcp error detection - TFDR	28
3.7	Debugging and profiling	29
3.7.1 Debugging with a sequential debugger		29
3.7.2 Built-in-tools for debugging		30
3.7.3 Assistance for external profiling		30
3.7.4 Debugging with Etnus Totalview		30
3.8	Controlling communication resources	31
3.8.1 Communication resources on DAT-devices		31
3.9	Good programming practice with SMC	32
3.9.1 Matching MPI_Recv() with MPI_Probe()		32
3.9.2 Using MPI_Isend(), MPI_Irecv()		32
3.9.3 Using MPI_Bsend()		32
3.9.4 Avoid starving MPI-processes - fairness		32
3.9.5 Unsafe MPI programs		33
3.9.6 Name space pollution		33
3.10 Error and warning messages		33
3.10.1 User interface errors and warnings		33
3.10.2 Fatal errors		33
3.11 Mpimon options		34
3.11.1 Giving numeric values to mpimon		35
Chapter 4 Profiling with Scali MPI Connect		37
4.1	Example	37
4.2	Tracing	38
4.2.1 Using Scali MPI Connect built-in trace		38
4.2.2 Features		40
4.3	Timing	41
4.3.1 Using Scali MPI Connect built-in timing		41
4.4	Using the scanalyze	43
4.4.1 Analysing all2all		43
4.5	Using SMC's built-inCPU-usage functionality	45
Chapter 5 Tuning SMC to your application		47
5.1	Tuning communication resources	47
5.1.1 Automatic buffer management		47
5.2	How to optimize MPI performance	48
5.2.1 Performance analysis		48
5.2.2 Using processor-power to poll		48
5.2.3 Reorder network traffic to avoid conflicts		48
5.3	Benchmarking	48

Scali MPI Connect Release 4.4 Users Guide 2