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as a function of j; k; x, and t. The state information at time 0 is the pair j; x . Let P be the transition matrix of the discrete-time Markov chain governing level transitions and let Fjk t be the holding-time cdf given that there is a transition from level j to c level k. For simplicity, we assume that Fjk t 1 Fjk t > 0 for all j; k, and t, so that all positive x can be level holding times. Let P tjx be the matrix with elements ^ Pjk tjx and let P sjx be the Laplace transform (LT) of P tjx , that is, the matrix with elements that are the Laplace transforms of Pjk tjx with respect to time: ^ Pjk sjx I

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WSERV calculates the actual window that a pointer event occurs in by analyzing the window tree in a recursive way Starting with top-level client windows, it nds the foremost window at that level that contains the point on which the user clicked Then it goes on to check each of this window s children, and so it continues, until there are no more children or none of the children contain the point Then WSERV analyses the windows in the same way again, but this time it checks the capturing ag of each window to see if it should be capturing the event..

e st Pjk tjx dt:

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This example demonstrates some of the following fundamental device driver concepts: Loading of a logical and physical device User::LoadLogicalDevice User::LoadPhysicalDevice Opening a channel to the device driver RSimpleSerialChannel::Open Performing a synchronous operation RSimpleSerialChannel::Config RSimpleSerialChannel::SetConfig Performing an asynchronous operation RSimpleSerialChannel::Read RSimpleSerialChannel::Write Closing the channel to the device driver RSimpleSerialChannel::Close In the following sections I ll be discussing the underlying principles behind each of these concepts, both from a user-side perspective and how these operations are translated and implemented by the kernel and device driver.

17:7

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Zomaya, Albert (ed) Parallel and Distributed Computing Handbook, McGraw-Hill, 1996 Pattern-based accounts of parallel programming include: Massingill, Berna, Timothy Mattson, and Beverly Sanders A Pattern Language for Parallel Application Programming, Technical report, University of Florida, 1999 MacDonald, Steve, Duane Szafron, and Jonathan Schaeffer "Object-Oriented Pattern-Based Parallel Programming with Automatically Generated Frameworks", in Proceedings of the 5th USENIX Conference on Object-Oriented Tools and Systems (COOTS), 1999 The FJTask framework internally relies on a work-stealing task scheduler based on the one in Cilk, a C-based parallel programming framework In work-stealing schedulers, each worker thread normally runs (in LIFO order) tasks that it constructs, but when idle steals (in FIFO order) those constructed by other worker threads More details, including explanations of the senses in which this scheme is optimal for recursive fork/join programs, may be found in: Frigo, Matteo, Charles Leiserson, and Keith Randall "The Implementation of the Cilk-5 Multithreaded Language", Proceedings of 998 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 1998 The online supplement includes more realistic examples of the techniques discussed in this section It also provides links to the Cilk package and related frameworks, including Hood (a C++ follow-on to Cilk) and Filaments (a C package that includes a specialized framework supporting barrier-based iterative computation)

^ We can obtain a convenient explicit expression for P sjx . For this purpose, let Gj be the holding-time cdf in level j, unconditional on the next level, that is, Gj x P

As I have previously mentioned, device drivers are kernel DLLs that are initialized by the loader in the same manner as any other DLL; this contrasts with the extensions I mentioned previously, which are XIP modules initialized explicitly by the kernel without the use of the loader. Before a client can use a device driver, its DLLs must be loaded using a combination of the following APIs:

Pjk Fjk x :

In the task-based frameworks illustrated throughout most of this chapter, threads are used to propel conceptually active messages sent among conceptually passive objects However, it can be productive to approach some design problems from the opposite perspective active objects sending each other passive messages To illustrate, consider an active object that conforms to the WaterTank description in 1:

TInt User::LoadLogicalDevice(const TDesC &aFileName) TInt User::LoadPhysicalDevice(const TDesC &aFileName)

17:8

For any cdf G, let Gc be the complementary cdf, that is, Gc x 1 G x . Also, let Hjk tjx Pjk Fjk t x Gjc x and Gj tjx P

These functions ask the loader to search the system path for the required LDD or PDD. If you don t supply a lename extension, then the required extension (.LDD or .PDD) will be added to the lename. If the le is found, its UID values are veri ed to make sure the DLL is a valid LDD or PDD before the image is loaded. Once loaded, the kernel proceeds to call the DLL entry point as described in Section 12.1.6, and this constructs any global objects in the DLL. After loading the DLL, the loader calls its rst export immediately. LDDs and PDDs are polymorphic DLLs, and the rst export is de ned as the factory function required to create an object of a class derived

pseudoclass ActiveWaterTank extends Thread { // Pseudocode // public void run() { for (;;) { accept message; if (message is of form addWater(float amount)) { if (currentVolume >= capacity) { if (overflow != null) { send overflowaddWater(amount); accept response; if (response is of form OverflowException) reply response; else else

17:9

^ ^ for Gj in Eq. (17.8). Then let hjk sjx and gj sjx be the associated Laplace Stieltjes transforms (LSTs): ^ hjk sjx I

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