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An implication of Amdahl's law is that to speed up real applications which have both serial and parallel portions, heterogeneous computing techniques are required. [12] There are novel speedup and energy consumption models based on a more general representation of heterogeneity, referred to as the normal form heterogeneity, that support a wide ...
at application software level, to control the speed of ingoing (received) data and/or to control the speed of outgoing (sent) data: a client program could be configured to throttle the sending (upload) of a big file to a server program in order to reserve some network bandwidth for other uses (i.e. for sending emails with attached data ...
More recently, in order to manage CPU power dissipation, processor makers favor multi-core chip designs, thus software needs to be written in a multi-threaded or multi-process manner to take full advantage of such hardware. Many multi-threaded development paradigms introduce overhead, and will not see a linear increase in speed when compared to ...
Also, 64-bit central processing units (CPU) and arithmetic logic units (ALU) are those that are based on processor registers, address buses, or data buses of that size. A computer that uses such a processor is a 64-bit computer. From the software perspective, 64-bit computing means the use of machine code with 64-bit virtual memory addresses.
This heatsink is designed with the cooling capacity matching the CPU’s TDP. Thermal Design Power (TDP), also known as thermal design point, is the maximum amount of heat that a computer component (like a CPU, GPU or system on a chip) can generate and that its cooling system is designed to dissipate during normal operation.
For example, if the throughput is 70 Mbit/s in a 100 Mbit/s Ethernet connection, the channel efficiency is 70%. In this example, effectively 70 Mbit of data are transmitted every second. Channel utilization is instead a term related to the use of the channel, disregarding the throughput.
The data compression ratio can serve as a measure of the complexity of a data set or signal. In particular it is used to approximate the algorithmic complexity . It is also used to see how much of a file is able to be compressed without increasing its original size.
Software reliability testing is being used as a tool to help assess these software engineering technologies. [9] To improve the performance of software product and software development process, a thorough assessment of reliability is required. Testing software reliability is important because it is of great use for software managers and ...