Checkpoint group communication

Combined Total The goal of the Berkeley UPC compiler group is to develop a portable, high performance implementation of UPC for large-scale multiprocessors, PC clusters, and clusters of shared memory multiprocessors. We are actively developing an open-source UPC compiler suite whose goals are portability and high-performance.

Checkpoint group communication

Combined Total The goal of the Berkeley UPC compiler group is to develop a portable, high performance implementation of UPC for large-scale multiprocessors, PC clusters, and clusters of shared memory multiprocessors. We are actively developing an open-source UPC compiler suite whose goals are portability and high-performance.

The major components of our project are: Lightweight Runtime and Networking Layers: On distributed memory hardware, references to remote Checkpoint group communication variables usually translate into calls to a communication library. Because of the shared memory abstraction that it offers, UPC encourages a programming style where remote data is accessed with a low granularity i.

In order to be able to obtain good performance from an implementation, it is therefore important that the overhead of accessing the underlying communication hardware is minimized and the implementation exploits the most efficient hardware mechanisms available.

Our group has thus developed a lightweight communication and run-time layer for global address space programming languages. In an effort to make our code useful to other projects, we have separated the UPC-specific parts our runtime layer from the networking logic. If you are implementing your own global address space language or otherwise need a low-level, portable networking libraryyou should look at our GASNet librarywhich currently runs over a wide variety of high-performance networks as well as over any MPI 1.

Compilation techniques for explicitly parallel languages: The group is working on developing communication optimizations to mask the latency of network communication, aggregate communication into more efficient bulk operations, and cache data locally.

We are also examining optimizations based on avoiding the overhead of shared pointer manipulation when accesses are known to be local. The group is working on benchmarks and applications to demonstrate the features of the UPC language and compilers, especially targeting problems with irregular computation and communication patterns.

Checkpoint group communication

This effort will also allow us to determine the potential for optimizations in UPC programs. In general, applications with fine-grained data sharing benefit from the lightweight communication that underlies UPC implementations, and the shared address space model is especially appropriate when the communication is asynchronous.

In order to help find and correct data races, deadlocks and other programming errors, we are working on UPC Thrille. It provides a high-level API that abstracts concurrent task management details and a dynamic load balancing mechanism.

Some of the research findings from these areas of work can be found on our publications page.

Checkpoint group communication

Currently multiple options encompassing these technologies are supported, for details please see the download page. All compilers have been tested using the same procedure and our recommendations in terms of robustness and performance are below. Though results will vary with your choice of a backend C compiler, this option is likely to result in best performance.

IPS Advisories

The performance is determined by LLVM no option to use other backend compilers. Performance is determined by the backend C compiler. The performance is determined by GCC no option to use other backend compilers All of the compiler options above use the Berkeley UPC runtime and compiler driver, which is available on the download page.Check Point's Data Loss Prevention Software blade prevents data leakage of sensitive information to unauthorized users.

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