Java RMI performance and object model interoperability: experiments with Java/HPC++

Breg, Fabian; Diwan, S.; Villacis, Juan; Balasubramanian, Jaiganesh; Akman, Esra; Gannon, Dennis

doi:10.1002/(sici)1096-9128(199809/11)10:11/13<941::aid-cpe391>3.3.co;2-k

Cited by 16 publications

(21 citation statements)

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“…Javanaise proposes a new model of distributed shared objects (as an alternative to RMI). Breg et al [1998] study RMI performance and interoperability. Hirano et al [1998] provide performance figures of RMI and RMI-like systems on Fast Ethernet.…”

Section: Related Workmentioning

confidence: 99%

Efficient Java RMI for parallel programming

2001

ACM Trans. Program. Lang. Syst.

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Java offers interesting opportunities for parallel computing. In particular, Java Remote Method Invocation (RMI) provides a flexible kind of remote procedure call (RPC) that supports polymorphism. Sun's RMI implementation achieves this kind of flexibility at the cost of a major runtime overhead. The goal of this article is to show that RMI can be implemented efficiently, while still supporting polymorphism and allowing interoperability with Java Virtual Machines (JVMs). We study a new approach for implementing RMI, using a compiler-based Java system called Manta. Manta uses a native (static) compiler instead of a just-in-time compiler. To implement RMI efficiently, Manta exploits compile-time type information for generating specialized serializers. Also, it uses an efficient RMI protocol and fast low-level communication protocols.A difficult problem with this approach is how to support polymorphism and interoperability. One of the consequences of polymorphism is that an RMI implementation must be able to download remote classes into an application during runtime. Manta solves this problem by using a dynamic bytecode compiler, which is capable of compiling and linking bytecode into a running application. To allow interoperability with JVMs, Manta also implements the Sun RMI protocol (i.e., the standard RMI protocol), in addition to its own protocol.We evaluate the performance of Manta using benchmarks and applications that run on a 32-node Myrinet cluster. The time for a null-RMI (without parameters or a return value) of Manta is 35 times lower than for the Sun JDK 1.2, and only slightly higher than for a C-based RPC protocol. This high performance is accomplished by pushing almost all of the runtime overhead of RMI to compile time. We study the performance differences between the Manta and the Sun RMI protocols in detail. The poor performance of the Sun RMI protocol is in part due to an inefficient implementation of the protocol. To allow a fair comparison, we compiled the applications and the Sun RMI protocol with the native Manta compiler. The results show that Manta's null-RMI latency is still eight times lower than for the compiled Sun RMI protocol and that Manta's efficient RMI protocol results in 1.8 to 3.4 times higher speedups for four out of six applications.

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Section: Related Workmentioning

confidence: 99%

Efficient Java RMI for parallel programming

2001

ACM Trans. Program. Lang. Syst.

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“…The architectural approach is based on a n-tier distributed module utilizing Java RMI [10] as the underline object oriented middle-ware. The physical architecture that VR-Net runs on is a set of diskless Linux servers connected over a 100 Mbit Ethernet network, using a distributed file system NFS [11].…”

Section: Vr-net Searching For a Semantic Webmentioning

confidence: 99%

<title>Creating a semantic-web interface with virtual reality</title>

Cleary

O’Donoghue

2001

SPIE Proceedings

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Novel initiatives amongst the Internet community such as Internet2 [1] and Qbone [2] are based on the use of high bandwidth and powerful computers. However the experience amongst the majority of Internet users is light-years from these emerging technologies. We describe the construction of a distributed high performance search engine, utilizing advanced threading techniques on a diskless Linux cluster. The resulting Virtual Reality scene is passed to a standard client machine for viewing. This search engine bridges the gap between the Internet of today, and the Internet of the future.

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“…There are a large number of parallel Java efforts that connect multiple Java virtual machines by utilizing Java's remote-method-invocation facility (e.g., [4,5,10,13]) or by grafting an existing message-passing library (e.g., [7,8]) onto Java. In our work we view a cluster as executing a single Java virtual machine.…”

Section: Introductionmentioning

confidence: 99%

Compiling Multithreaded Java Bytecode for Distributed Execution

Antoniu

Bougé

Hatcher

et al. 2000

Euro-Par 2000 Parallel Processing

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Abstract. Our work combines Java compilation to native code with a run-time library that executes Java threads in a distributed-memory environment. This allows a Java programmer to view a cluster of processors as executing a single Java virtual machine. The separate processors are simply resources for executing Java threads with true concurrency and the run-time system provides the illusion of a shared memory on top of the private memories of the processors. The environment we present is available on top of several UNIX systems and can use a large variety of network protocols thanks to the high portability of its run-time system. To evaluate our approach, we compare serial C, serial Java, and multithreaded Java implementations of a branch-and-bound solution to the minimal-cost map-coloring problem. All measurements have been carried out on two platforms using two different network protocols: SISCI/SCI and MPI-BIP/Myrinet.

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Java RMI performance and object model interoperability: experiments with Java/HPC++

Cited by 16 publications

References 1 publication

Efficient Java RMI for parallel programming

Efficient Java RMI for parallel programming

<title>Creating a semantic-web interface with virtual reality</title>

Compiling Multithreaded Java Bytecode for Distributed Execution

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