47,855 research outputs found
Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms
Remote job submission and execution is fundamental requirement of distributed
computing done using Cluster computing. However, Cluster computing limits usage
within a single organization. Grid computing environment can allow use of
resources for remote job execution that are available in other organizations.
This paper discusses concepts of batch-job execution using LRM and using Grid.
The paper discusses two ways of preparing test Grid computing environment that
we use for experimental testing of concepts. This paper presents experimental
testing of remote job submission and execution mechanisms through LRM specific
way and Grid computing ways. Moreover, the paper also discusses various
problems faced while working with Grid computing environment and discusses
their trouble-shootings. The understanding and experimental testing presented
in this paper would become very useful to researchers who are new to the field
of job management in Grid.Comment: Fourth International Conference on Advanced Computing & Communication
Technologies (ACCT), 201
OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF
The actor model of computation has been designed for a seamless support of
concurrency and distribution. However, it remains unspecific about data
parallel program flows, while available processing power of modern many core
hardware such as graphics processing units (GPUs) or coprocessors increases the
relevance of data parallelism for general-purpose computation.
In this work, we introduce OpenCL-enabled actors to the C++ Actor Framework
(CAF). This offers a high level interface for accessing any OpenCL device
without leaving the actor paradigm. The new type of actor is integrated into
the runtime environment of CAF and gives rise to transparent message passing in
distributed systems on heterogeneous hardware. Following the actor logic in
CAF, OpenCL kernels can be composed while encapsulated in C++ actors, hence
operate in a multi-stage fashion on data resident at the GPU. Developers are
thus enabled to build complex data parallel programs from primitives without
leaving the actor paradigm, nor sacrificing performance. Our evaluations on
commodity GPUs, an Nvidia TESLA, and an Intel PHI reveal the expected linear
scaling behavior when offloading larger workloads. For sub-second duties, the
efficiency of offloading was found to largely differ between devices. Moreover,
our findings indicate a negligible overhead over programming with the native
OpenCL API.Comment: 28 page
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Software test automation : a design and tool selection approach for a heterogeneous environment
textThis report describes a design approach for implementing a software test automation solution that can accommodate existing test processes in an organization. The process of implementing a software test automation solution is a large undertaking and requires careful planning to avoid unsuccessful implementations. This report outlines a design that can integrate with existing business and development processes in an organization, and recommends automation and development frameworks for achieving the test automation goals.
Considerations for a heterogeneous test environment with varying types of supported operating systems, such as Windows and Linux, and multiple test execution environments, such as Java and .NET, have been made in this design and in the tool selections for the system implementation. The report also describes some of the challenges and caveats of automation in a heterogeneous environment along with recommended solutions to these challenges.Electrical and Computer Engineerin
Synapse: Synthetic Application Profiler and Emulator
We introduce Synapse motivated by the needs to estimate and emulate workload
execution characteristics on high-performance and distributed heterogeneous
resources. Synapse has a platform independent application profiler, and the
ability to emulate profiled workloads on a variety of heterogeneous resources.
Synapse is used as a proxy application (or "representative application") for
real workloads, with the added advantage that it can be tuned at arbitrary
levels of granularity in ways that are simply not possible using real
applications. Experiments show that automated profiling using Synapse
represents application characteristics with high fidelity. Emulation using
Synapse can reproduce the application behavior in the original runtime
environment, as well as reproducing properties when used in a different
run-time environments
Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies
Grid is an infrastructure that involves the integrated and collaborative use
of computers, networks, databases and scientific instruments owned and managed
by multiple organizations. Grid applications often involve large amounts of
data and/or computing resources that require secure resource sharing across
organizational boundaries. This makes Grid application management and
deployment a complex undertaking. Grid middlewares provide users with seamless
computing ability and uniform access to resources in the heterogeneous Grid
environment. Several software toolkits and systems have been developed, most of
which are results of academic research projects, all over the world. This
chapter will focus on four of these middlewares--UNICORE, Globus, Legion and
Gridbus. It also presents our implementation of a resource broker for UNICORE
as this functionality was not supported in it. A comparison of these systems on
the basis of the architecture, implementation model and several other features
is included.Comment: 19 pages, 10 figure
A Generic Deployment Framework for Grid Computing and Distributed Applications
Deployment of distributed applications on large systems, and especially on
grid infrastructures, becomes a more and more complex task. Grid users spend a
lot of time to prepare, install and configure middleware and application
binaries on nodes, and eventually start their applications. The problem is that
the deployment process is composed of many heterogeneous tasks that have to be
orchestrated in a specific correct order. As a consequence, the automatization
of the deployment process is currently very difficult to reach. To address this
problem, we propose in this paper a generic deployment framework allowing to
automatize the execution of heterogeneous tasks composing the whole deployment
process. Our approach is based on a reification as software components of all
required deployment mechanisms or existing tools. Grid users only have to
describe the configuration to deploy in a simple natural language instead of
programming or scripting how the deployment process is executed. As a toy
example, this framework is used to deploy CORBA component-based applications
and OpenCCM middleware on one thousand nodes of the French Grid5000
infrastructure.Comment: The original publication is available at http://www.springerlink.co
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