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A symmetric multiprocessor system (SMP) is a system with a pool of homogeneous processors running under a single OS with a centralized, shared main memory. Each processor, executing different programs and working on different sets of data, has the ability to share common resources (memory, I/O device, interrupt system, and so on) that are ...
Diagram of a symmetric multiprocessing system. Symmetric multiprocessing or shared-memory multiprocessing [1] (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all ...
Non-uniform memory access (NUMA) is a computer memory design used in multiprocessing, where the memory access time depends on the memory location relative to the processor. Under NUMA, a processor can access its own local memory faster than non-local memory (memory local to another processor or memory shared between processors). [ 1 ]
HSA defines a special case of memory sharing, where the MMU of the CPU and the IOMMU of the GPU have an identical pageable virtual address space.. In computer hardware, shared memory refers to a (typically large) block of random access memory (RAM) that can be accessed by several different central processing units (CPUs) in a multiprocessor computer system.
Microarchitecture, also known as computer organization, refers to high-level hardware questions such as the design of the CPU, memory, and memory interconnect. [26] Memory hierarchy ensures that the memory quicker to access (and more expensive) is located closer to the CPU, while slower, cheaper memory for large-volume storage is located ...
Direct memory access (DMA) is a feature of computer systems that allows certain hardware subsystems to access main system memory independently of the central processing unit (CPU). [ 1 ] Without DMA, when the CPU is using programmed input/output , it is typically fully occupied for the entire duration of the read or write operation, and is thus ...
Some (or all) of the CPUs can share a common bus, each can also have a private bus (for private resources), or they may be isolated except for a common communications pathway. Likewise, the CPUs can share common RAM and/or have private RAM that the other processor(s) cannot access. The roles of master and slave can change from one CPU to another.
CPU and GPU now access the memory with the same address space. Pointers can now be freely passed between CPU and GPU, hence enabling zero-copy. Fully coherent memory between CPU and GPU: GPU can now access and cache data from coherent memory regions in the system memory, and also reference the data from CPU's cache. Cache coherency is maintained.