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techniques Furthermore, with the emergence of portable bytecodes and dynamic just-in-time (JIT) compilation, the meaning of ISA and the consequent placement of the dynamic-static interface (DSI) will become quite blurred In the corning decade, microarchitecture will be where the action is As the chip integration density approaches 1 billion transistors on a die, many of the traditional (macro)archJtecture features, such as the memory subsystem, multiple processors, and input/output subsystem, will become on-die issues and hence become effectively microarchitecture issues Traditional system-level architecture will become part of chip-level design We can expect to see the integration of multiple processors, the cache memory hierarchy, the main memory controller (arid possibly even the main memory), input/output devices, and network interface devices on one chip We can expect to see many new innovative microarchitecture techniques As we approach and possibly exceed the 10-GHz clocking speed, we will need to rethink many of the fundamentals of microarchitecture design A simple ALU operation may take multiple cycles A sophisticated branch predictor can require up to 10 cycles Main memory latency will be 1000+ cycles long It may take tens of clock cycles to traverse the entire die What we currently think of as very aggressive pipelining will be viewed as rather elementary Future microprocessors will become single-chip computing systems that will need to exploit various forms of parallelism These systems will need to go beyond instruction-level parallelism to harvest thread-level parallelism (TLP) in the workload Perhaps the most important will be the pursuit of memory-level parallelism (MLP) in being able to process many simultaneous memory accesses As main memcry latency becomes three orders of magnitude slower than the CPU cycle time, we will need to find clever ways of trading the memory bandwidth to mitigate the severe negative impact of long memory latency on overall performance The main challenge will become the movement of data, not the operations performed on the data.

#include <stdio.h> void DrawDots( int numDots );

The materials you need for this lab are A partner or classmate to play the role of the client (optionally, if you do not have a partner, work through the scenario and complete the Lab Analysis Test at the end of the chapter) A notepad or computer-generated trouble ticket to simulate the practice followed in many computer support organizations Optional: A demo machine or Internet access to re-create the scenario and research options on vendor Web sites and tech forums

int main (int argc, const char * argv[]) { int i;

for ( i=1; i<=10; i++ ) { DrawDots( 30 ); printf( "\n" ); } return 0; } void int DrawDots( int numDots ) { i;

To begin, have your partner read the Client section that follows You will then read the PC Tech section and use the speci cs to analyze the situation and recommend the best course of action Now sit down and work through the scenario with your partner If possible, use the Internet or demo machines to make the scenario role-playing more valid

for ( i = 1; i <= numDots; i++ ) printf( "." ); }

Acosta, R, J Kilestrup, and H Tomg: "An instruction issuing approach to enhancing performance in multiple functional unit processors," IEEE Trans, on Computers, C35,9,1986, pp 815-828 Agerwala, T, and J Cocke: "High performance reduced instruction set processors," Technical report, D3M Computer Science, 1987 Amdahl, G: "Validity of the single processor approach to achieving large scale computing capabilities," AFIPS Con} Proc, 1967, pp 483-485 Amdahl, G, G Blaauw, and F P Brooks, Jr: "Architecture of the IBM System/360," IBM Journal of Research and Development, 8,1964, pp 87-101 Bashteen, A, I Lui, and J Mullan: "A superpipeline approach to the MIPS architecture" Proc COMPCON Spring 91, 1991, pp 325-333 Blaauw, G, and F P Brooks, Jr: Computer Architecture: Concepts and Evolution Reading, MA: Addison-Wesley, 1997 Black, B, and J P Shen: "Calibration of microprocessor performance models," Computer, 31, 5,1998, pp 59-65

This code prints a series of 10 rows of dots, with 30 dots in each row. After each call to DrawDots(), a carriage return (\n) is printed, moving the cursor in position to begin the next row of dots. Notice that main() and DrawDots() each feature a variable named i. main() uses the variable i as a counter, tracking the number of rows of dots printed. DrawDots() also uses i as a counter, tracking the number of dots in the row it is printing. Won t DrawDots() s copy of i mess up main() s copy of i No! When main() starts executing, memory gets allocated for its copy of i. When main() calls DrawDots(), additional memory gets allocated for the DrawDots() copy of i. When DrawDots() exits, the memory for its copy of i is deallocated, freed up so it can be used again for some other variable. A variable declared within a specific function is known as a local variable. DrawDots() has a single local variable, the variable i.

Here s one final point: The value passed in to a function is known as an argument. The variable declared to receive that argument is known as a parameter. In this line of code:

CLIENT:

DrawDots( 30 );

the constant 30 is an argument being passed to DrawDots(); it s not a parameter. Many programmers use the terms argument and parameter interchangeably. For example, someone might talk about passing a parameter to a function. Strictly speaking, you pass an argument to a function to be received as a parameter. As long as you understand that point, the term parameter passing will do just fine.