Linux Clustering Testing SMP

Linux Clustering Testing SMP Consulting Services

A 4 way SMP - Symmetric Multi-processing Linux box is a shared memory machine and can be used for parallel computing - parallel applications communicate using shared memory. Just as in the computer store analogy, local memory machines (individual cash registers) can be scaled up to large numbers of CPUs, while the number of CPUs shared memory machines (the number of cash registers you can place in one spot) can have is limited due to memory contention.  

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Linux Clustering with SMP

It is possible, however, to connect many shared memory machines to create a "hybrid" shared memory machine. These hybrid machines "look" like a single large SMP machine to the user and are often called NUMA (non uniform memory access) machines because the global memory seen by the programmer and shared by all the CPUs can have different latencies. At some level, however, a NUMA machine must "pass messages" between local shared memory pools.

It is also possible to connect SMP machines as distributed memory compute nodes. Typical CLASS I motherboards have either 2 or 4 CPUs and are often used as a means to reduce the overall system cost. The Linux internal scheduler determines how these CPUs get shared. The user cannot (at this point) assign a specific task to a specific SMP processor.  The user can however, start two independent processes or threaded processes and expect to see a performance increase over a single CPU system.

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Linux Clustering SMP Overview

Shared Memory Processors (SMP): These are computers with more than one CPU. You can run separate programs on each of the processors simultaneously or a single program in parallel across the processors. Distributed clusters of local memory machines: This is a combination of the single CPU and SMP machines via shared memory. Since SMP machines communicate via shared memory, you may think that this solution is better because an overhead introduced by a network does not occur. That is almost true, but you also have limited scalability because of memory limitations; the machine cannot have infinite memory.

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