InterWeave is a distributed middleware system that supports the sharing of strongly typed, pointerrich data structures across a wide variety of hardware architectures, operating systems, and programming languages. As a complement to RPC/RMI, InterWeave facilitates the rapid development of maintainable code by allowing processes to access shared data using ordinary reads and writes. To maximize performance on bandwidth-limited networks, InterWeave caches data locally, leverages application-specific coherence requirements to minimize the frequency of updates, and employs two-way diffing to update only those data that have actually changed. We hav
Developing wide area applications such as those for sharing data across the Internet is unnecessaril...
INTERTWinE addresses programming-model design and implementation for scientific computing at Exascal...
A problem with running distributed shared memory applications in heterogeneous environments is that ...
InterWeave is a distributed middleware system that attempts to do for computer programs what theWor...
InterWeave is a distributed middleware system that supports the sharing of strongly typed, pointer-...
As a result of advances in processor and network speeds, more and more applications can productively...
Most distributed applications require, at least conceptually, some sort of shared state: information...
In this article, we present the Mocha wide area computing infrastructure we are currently developing...
To alleviate scalability problems in the Web, many researchers concentrate on how to incorporate adv...
We describe an efficient software cache consistency mechanism for shared memory multiprocessors that...
Field-Programmable Gate Arrays (FPGAs) systems now comprise many processing elements that are proce...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
The advent of gigabit network technologies has made it possible to combine sets of uni- and multipr...
Distributed heterogeneous systems and large clusters provide a great opportunity and, at the same ti...
The advent of heterogeneous many-core systems has increased the spectrum of achievable performance ...
Developing wide area applications such as those for sharing data across the Internet is unnecessaril...
INTERTWinE addresses programming-model design and implementation for scientific computing at Exascal...
A problem with running distributed shared memory applications in heterogeneous environments is that ...
InterWeave is a distributed middleware system that attempts to do for computer programs what theWor...
InterWeave is a distributed middleware system that supports the sharing of strongly typed, pointer-...
As a result of advances in processor and network speeds, more and more applications can productively...
Most distributed applications require, at least conceptually, some sort of shared state: information...
In this article, we present the Mocha wide area computing infrastructure we are currently developing...
To alleviate scalability problems in the Web, many researchers concentrate on how to incorporate adv...
We describe an efficient software cache consistency mechanism for shared memory multiprocessors that...
Field-Programmable Gate Arrays (FPGAs) systems now comprise many processing elements that are proce...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
The advent of gigabit network technologies has made it possible to combine sets of uni- and multipr...
Distributed heterogeneous systems and large clusters provide a great opportunity and, at the same ti...
The advent of heterogeneous many-core systems has increased the spectrum of achievable performance ...
Developing wide area applications such as those for sharing data across the Internet is unnecessaril...
INTERTWinE addresses programming-model design and implementation for scientific computing at Exascal...
A problem with running distributed shared memory applications in heterogeneous environments is that ...