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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 ...
For example: suppose 70% of a program can be sped up if parallelized and run on multiple CPUs instead of one. If α {\displaystyle \alpha } is the fraction of a calculation that is sequential, and 1 − α {\displaystyle 1-\alpha } is the fraction that can be parallelized, the maximum speedup that can be achieved by using P processors is given ...
In computer architecture, 64-bit integers, memory addresses, or other data units [a] are those that are 64 bits wide. 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.
This number is closely related to the channel capacity of the system, [2] and is the maximum possible quantity of data that can be transmitted under ideal circumstances. In some cases this number is reported as equal to the channel capacity, though this can be deceptive, as only non-packetized systems (asynchronous) technologies can achieve this without data compression.
A vector processor is a CPU or computer system that can execute the same instruction on large sets of data. Vector processors have high-level operations that work on linear arrays of numbers or vectors. An example vector operation is A = B × C, where A, B, and C are each 64-element vectors of 64-bit floating-point numbers. [64]
SPARC (Scalable Processor ARChitecture) is a reduced instruction set computer (RISC) instruction set architecture originally developed by Sun Microsystems. [ 1 ] [ 2 ] Its design was strongly influenced by the experimental Berkeley RISC system developed in the early 1980s.
The project released the resulting code in February 2000. [184] The code then became part of the mainline Linux kernel more than a year before the release of the first Itanium processor. The Trillian project was able to do this for two reasons: the free and open source GCC compiler had already been enhanced to support the Itanium architecture.