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As an example of why you might care, imagine we were indexing into a matrix in the body of our loop If the original inner loop (with j and M) controlled the row accessed and the original outer loop (with i and N) controlled the column, then partitioning on the row indices instead of the column would lead to better spatial and temporal cache locality for most dense matrix representations (eg, CLR rectangular arrays, such as i n t [ , ] ) due to the way individual elements in each row are stored adjacent to one another in memory Sometimes it may be useful to "tile" an array, for example, to assign AxB sections of the array to partitions at a time as the chunk unit size, such as 1 6x 1 6 This usually yields performance improvements due to locality and less frequent synchronization In other circumstances, this kind of chunk ing might be a correctness condition of the algorithm JPEG encoding, as an example, is a problem that can be parallelized (see Further Reading, Kodaka, Kimura, Kasahara), but requires that the input image be decoded into 8x8 chunks because of dependencies within individual chunks A plethora of additional loop restructurings is possible, often referred to by the general term loop blocking The idea is to optimize loops, partitioning, and chunk sizes, based on the data access patterns of the code itself Many exotic techniques have been explored over the years (see Further Reading, Lamport 1 973; 1 974), and much research has gone into the static optimization of such operations to achieve the best theoretical speedups (see Further Reading, Blelloch, Gibbons, Matias) rdlc gs1 128 Packages matching GS1-128 - NuGet Gallery
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RDLC GS1-128 barcode control helps .NET users to print high quality GS1-128 barcodes using VB.NET codes on RDLC local reports. This barcode generation ... In shared memory systems-the dominant concurrent programming model on Microsoft's development platform (including native Win32 and the CLR)-there is no apparent distinction in the programming interface between state that is used to communicate between threads and state that is thread local The language and library constructs to work with these two very different categories of memory are identical At the same time, reads from and writes to shared state usually mean very different things than those that work with thread-private state: they are usually meant to instruct concurrent threads about the state of the system so they can react to the state change The fact that it is difficult to identify operations that work with this special case also makes it difficult to identify where synchroniza tion is required and, hence, to reason about the subtle interactions among concurrent threads In message passing systems, all interthread state sharing is encapsulated within the messages sent between threads This typically requires that state is copied when messages are sent and normally implies handing off own ership of state at the messaging boundary Logically, at least, this is the same as performing atomic updates in a shared memory system, but is physically quite different (In fact, using shared memory could be viewed as an optimization for message passing, when it can be proven safe to turn message sends into writes to shared memory Recent research in operating system design in fact has explored using such techniques [see Further Reading, Aiken, Fahndrich, Hawblitzel, Hunt, Larusl) Due to the copying, message passing in most implementations is less efficient from a perform ance standpoint But the overall thread of state management is usually simplified The first popular message passing system was proposed by C A R Hoare as his Communicating Sequential Processes (CSP) research (see Further Reading, Hoare, 1 978, 1 985) In a CSP system, all concurrency is achieved by having independent processes running asynchronously As they must. rdlc ean 128 RDLC GS1-128 .NET Barcode Generation Control - TarCode.com
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