Title :
Cache performance of video computation workloads
Author :
Petko, Stefan ; Kudithipudi, Dhireesha ; John, Eugene
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., San Antonio, TX, USA
Abstract :
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.
Keywords :
cache storage; data compression; digital signal processing chips; system-on-chip; video coding; H263; JPEG; MPEG-2; cache performance; central processing unit; data access; desktop system; hit ratio; main memory unit; microprocessor; on-chip cache; personal computer; spatial locality; temporal locality; video compression; video computation workload; Computational modeling; Discrete cosine transforms; Image coding; Image processing; Microcomputers; Microprocessors; Streaming media; Transform coding; Video compression; Workstations;
Conference_Titel :
Digital and Computational Video, 2002. DCV 2002. Proceedings. Third International Workshop on
Print_ISBN :
0-7803-7984-5
DOI :
10.1109/DCV.2002.1218758