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Cache performance of video computation workloads

机译:视频计算工作负载的缓存性能

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Many video computation workloads execute on general-purpose computers including workstations, desktop systems and personal computers. The microprocessors that form the central processing unit of these systems typically expend a significant part of their real estate for on-chip caches and hence it is important to understand cache behavior of video computation workloads. Caches generally improve application performance by capturing temporal and spatial locality in instruction and data accesses. Modern processors run at speeds in the GHz range, and contain 2 or 3 levels of caches. The access time of main memory units in these systems are in the order of 100 cycles. Unless the caches can result in good hit ratios, the memory access times are prohibitive. We study the cache performance of video workloads. The workloads studied include JPEG, MPEG-2 and H263. The impact of cache sizes, block sizes and associativity on cache performance is discussed. It is observed that caches are used very well by these video computation workloads.
机译:许多视频计算工作负载在通用计算机上执行,包括工作站,台式机系统和个人计算机。构成这些系统的中央处理单元的微处理器通常将其大部分资源用于片上缓存,因此了解视频计算工作负载的缓存行为非常重要。缓存通常通过捕获指令和数据访问中的时间和空间局部性来提高应用程序性能。现代处理器以GHz范围内的速度运行,并包含2或3级缓存。在这些系统中,主存储单元的访问时间约为100个周期。除非高速缓存可以带来良好的命中率,否则内存访问时间是令人望而却步的。我们研究视频工作负载的缓存性能。研究的工作负载包括JPEG,MPEG-2和H263。讨论了缓存大小,块大小和关联性对缓存性能的影响。可以看出,这些视频计算工作负载很好地使用了缓存。

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