The Mk5 Mondeo first launched in the US in 2012 as the Ford Fusion, it was meant to arrive in Europe in 2013 but production delays pushed its launch back to October 2014, due to production moving from Belgium to Spain. Like previous Mondeos, it comes in many bodystyles, engines and trim levels and is attractively styled. In March 2021, Ford announced that they will be ending production of the Mondeo in March 2022 due to falling sales and growing demand for SUV's like Ford's own Kuga which has often outsold it in recent years.
Volvo V40
Volvo V40 was a car produced by Volvo from 1995 through 2004. It was the estate version of the first generation S40. It was replaced by the V50 in 2004.
In 2012 Volvo introduced a a different car also "Volvo V40". It is a completely new design and it shares nothing but its name with the older V40.
Volvo S40
Volvo S40 is a car produced by Volvo from 1995 to 2012 in two generations. Both generations had an estate versions. For the first generation it was called V40 (1995-2004), for the second generation it was called V50 (2004-2012)
El Hadji Diouf
El Hadji Diouf (born 15 January 1981) is a Senegalese football player. He plays for Blackburn Rovers.
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197||25||10||0||13||3||25||3||245||31
293||45||11||0||13||3||25||3||342||51
!Total||69||21
Dennis Wise
Dennis Wise is a former football player. He has played for England national team.
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593||95
!Total||21||1
Ashley Ward
Ashley Ward is a former English football player.
Ivica Kralj
Ivica Kralj (born March 26, 1973) is a Montenegrin football player. He has played for Yugoslavia national team.
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62||0
12||0
7||0
7||0
0||0
0||0
214||0
!Total||41||0
Bit-level parallelism
Bit-level parallelism is a form of parallel computing based on increasing processor word size, depending on very-large-scale integration (VLSI) technology. Enhancements in computers designs were done by increasing bit-level parallelism
Increasing the word size reduces the number of instructions the processor must execute in order to perform an operation on variables whose sizes are greater than the length of the word. (For example, consider a case where an 8-bit processor must add two 16-bit integers. The processor must first add the 8 lower-order bits from each integer, then add the 8 higher-order bits, requiring two instructions to complete a single operation. A 16-bit processor would be able to complete the operation with single instruction)
Historically, 4-bit microprocessors were replaced with 8-bit, then 16-bit, then 32-bit microprocessors, then 64-bit microprocessors. 32-bit processors has been a standard in general purpose computing for about 20 years, but now 64-bit processors are taking the lead.
Instruction level parallelism
Instruction-level parallelism (ILP) is a measure of how many operations in a computer program can be performed "in-parallel" at the same time (termed:""simultaneously""). Consider the following program:
Operation 3 depends on the results of "e" and "f" which are calculated from operations 1 and 2, so "g" cannot be calculated until both of "e" and "f" are computed. However, operations 1 and 2 do not depend on any other operation, so they can be computed simultaneously. If we assume that each operation can be completed in one unit of time then these three instructions can be completed in a total of two units of time, giving an ILP factor of 3/2; which means 3/2 = 1.5 greater than without ILP.
One of the goals of compilers and processors designers is to use as much ILP as possible. Ordinary programs are written execute instructions in sequence; one after the other, in the order as written by programmers. ILP allows the compiler and the processor to overlap the execution of multiple instructions or even to change the order in which instructions are executed.
How much ILP exists in programs depends on the application type, for example, in graphics and scientific applications the amount can be very large while in cryptography the amount much less.
Micro-architectural techniques that use ILP include:
In recent years, ILP techniques have been used for performance improvements in conditions where the difference between processor operating frequencies and memory access times is large. As of 2008, a cache "miss" costs several hundreds of CPU cycles in a main memory access; with much longer latency compared when the processor finds that the memory location is in the cache. Hence, this technique was proved to be insufficient to save the CPU time from waiting for the off-chip data. Instead, the industry is moving towards improving higher levels of parallelism using techniques such as multiprocessing and multithreading.
Data parallelism
Data parallelism (also known as loop-level parallelism) is a form of parallel computing for multiple processors using a technique for distributing the data across different parallel processor nodes. It contrasts to task parallelism as another form of parallelism.
In a multiprocessor system where each one is executing a single set of instructions, data parallelism is achieved when each processor performs the same task on different pieces of distributed data. In some situations, a single execution thread controls operations on all pieces of data. In others, different threads control the operation, but they execute the same code.
For example, if we are running code on a 2-processor system (CPUs A and B) in a parallel computing environment, and we want to do a task on some data D, it is possible to tell CPU A to do that task on one part of D and CPU B on another part of D simultaneously (at the same time), in order to reduce the runtime of the execution.
Data parallelism is used by many applications especially data processing applications; one of the examples is database applications. Most real programs use a combination of data parallelism and task parallelism.
Task parallelism
Task parallelism (also known as Thread level parallelism, function parallelism and control parallelism) is a form of parallel computing for multiple processors using a technique for distributing execution of processes and threads across different parallel processor nodes. It contrasts to data parallelism as another form of parallelism.
In a multiprocessor system, task parallelism is achieved when each processor executes a different thread (or process) on the same or different data. The threads may execute the same or different code. Different execution threads communicate with one another usually to pass data as they work.
As a simple example, if we are running code on a 2-processor system (CPUs "a" & "b") in a parallel computing environment and we want to do tasks "A" and "B", it is possible to tell CPU "a" to do task "A" and CPU "b" to do task 'B" simultaneously (at the same time), in order to reduce the runtime of the execution.
Task parallelism is used by multi-user and multitasking operating systems, and applications depending on processes and threads, unlike data processing applications (see data parallelism). Most real programs use a combination of Task parallelism and Data parallelism.
Interrupt latency
In Realtime Operating Systems (RTOS), interrupt latency is the time between the generation of an interrupt by a device (or a peripheral) and servicing the device which generated the interrupt. For many operating systems (OS), the OS code is programmed so that devices are serviced as soon as the device's interrupt handler is executed. Interrupt latency depends on the CPU, interrupt controllers, interrupt masking, and the operating system's (OS) "interrupt handling methods".
Flavors of Entanglement
Flavors of Entanglement is the seventh studio album by rock singer Alanis Morissette. This studio album was released June 10, 2008 in the United States, June 9, 2008 in Australia, and on May 30, 2008 in Europe. Some singles from this album were: "Underneath", "Not As We", and "In Praise of the Vulnerable Man".
Thread switching latency