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Gaming on phones, tablets and laptops is very popular. Cloud gaming - where remote servers perform game execution and rendering on behalf of thin clients that simply send input and display output frames - promises any device the ability to play any game any time. Unfortunately, the reality is that wide-area network latencies are often prohibitive; cellular,(More)
Gaming is very popular. Cloud gaming – where remote servers perform game execution and rendering on behalf of thin clients that simply send input and display output frames – promises any device the ability to play any game any time. Unfortunately, the reality is that wide-area network latencies are often prohibitive; cellular , Wi-Fi and even wired(More)
In cloud gaming, servers perform remote rendering on behalf of thin clients. Such a server must deliver sufficient frame rate (at least 30fps) to each of its clients. At the same time, each client desires an immersive experience, and therefore the server should also provide the best graphics quality possible to each client. Statically provisioning time(More)
During GPU-enabled applications optimization a lot of "magic" constants are introduced, such as block size, parallelism granularity, thread weight, and so on. Although these constants affect performance directly, it is impossible to determine their optimal values statistically for the general case because they depend on both the data specificity and the(More)
When the program is being optimized for execution on GPU, one has to introduce a lot of performance affected constants that define blocks parameters, data chunks size, parallelism granularity, etc. And the more software is optimized, the more magic constants it introduces. Furthermore, adding multi-GPU system support often requires usage of smart load(More)
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