Bruce Krakower
Reference Source. Software. The MPI.NET source code is available as Open Source software under the Boost Software License (details). However, most users of MPI.NET will want to download either the runtime (for installation on cluster compute nodes) or the SDK (for developing programs using MPI.NET) binaries. On Windows, MPI.NET requires Microsoft's MPI implementation (MS-MPI), which can be installed one of two ways: HPC Pack 2008 SDK or Microsoft Compute Cluster Pack SDK: includes MS-MPI and the various headers that one needs if writing MPI programs in C or C++ without MPI.NET. Recommended for most users, because it installs on Windows XP and Windows Vista. Windows HPC Server 2008 or Microsoft Compute Cluster Server 2003: install the Microsoft Compute Cluster pack on Microsoft Compute Cluster Server 2003 or install Windows HPC Server 2008 to get support for MPI. Version 1.0.0 This is the first major release of MPI.NET, including improved documentation, better support for MPI 1.1 and 2.0, and various bug files.
Simple immutable objects - Andrew Arnott. We’re all familiar with immutable collections now. But immutability is only as immutable as it is deep. And an immutable collection of mutable objects may not provide the depth you’re looking for. So how can one create an immutable object? Suppose you would define the mutable version like this: public class Fruit { public string Color { get; set; }} An immutable version might be defined like this: public class ImmutableFruit { private readonly string color; public ImmutableFruit(string color) { this.color = color; } public string Color { get { return this.color; } } } Now that’s fine for very simple objects.
We can make a couple more enhancements though. Another enhancement we can make is to make all constructors private. What does the resulting immutable object look like? Of course adding more properties will be common, and the code will increase a bit more with each one. So what can we do to simplify immutable programming? Consider this simple definition of a mutable type: Home | Hypertable - Big Data. Big Performance. Neo4j: NOSQL For the Enterprise. Trinity. General purpose graph computation faces a great challenge of random data access. Meanwhile, the RAM capacity limit forms a scale bound of single machine solutions for general purpose graph processing. Trinity is a general purpose distributed graph system over a memory cloud. Memory cloud is a globally addressable, in-memory key-value store over a cluster of machines. Through the distributed in-memory storage, Trinity provides fast random data access power over a large data set.
This makes Trinity a natural large graph processing platform. Features of Trinity: Trinity can run in both embedded (in-process) and distributed mode. Project Contacts Bin Shao Jeff Chen Wei-Ying Ma. Dataflow (Task Parallel Library) This example demonstrates the case in which an exception goes unhandled in the delegate of an execution dataflow block.
We recommend that you handle exceptions in the bodies of such blocks. However, if you are unable to do so, the block behaves as though it was canceled and does not process incoming messages. Spark - Lightning-Fast Cluster Computing.