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Recent multi-core designs migrated from Symmetric Multi Processing to cache coherent Non Uniform Memory Access architectures.
Under uniform memory address distribution, and when the L3 cache miss rate is close to 0, privatizing both L2s and L3s performs best among the 3 cache models.
OpenMP targets shared-memory architectures and is limited in scalability to hardware system architectures providing near uniform memory access to shared memory.
With the increment of logic and memory elements available on FPGAs, complex multiprocessor architectures can be developed (e.g., uniform memory architecture (UMA); not uniform memory architecture (NUMA); network-on-chip (NOC)) by exploiting also proper operating systems.
Computer architectures in which each element of main memory can be accessed with equal latency and bandwidth are known as Uniform Memory Access (UMA) systems.
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With Moore's law behavior still lasting, core-count growth creates typical non-uniform memory accesses (NUMA).
Current systems include several multicore and multithreaded processors with Non-Uniform Memory Access (NUMA) characteristics.
However, as our algorithm is designed for disjoint accesses, it performs significantly better on systems with high concurrency and non-uniform memory architecture.
processor is architected for multimedia applications with regular processing requirements, we are interested in its performance on problems with non-uniform memory access patterns.
The hybrid nature of these systems – distributed memory across nodes and shared memory with non-uniform memory access within each node – poses a challenge to application developers.
In this paper, we propose multiple-combinational-channel (MCC), a load balancing and deadlock free interconnect network, for cache-coherent non-uniform memory accessing (CC-NUMA).
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