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7,465
Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks
- In EuroSys
, 2007
"... Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad applica-tion combines computational “vertices ” with communica-tion “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set of availa ..."
Abstract
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Cited by 762 (27 self)
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Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad applica-tion combines computational “vertices ” with communica-tion “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set
CUTE: A Concolic Unit Testing Engine for C
- IN ESEC/FSE-13: PROCEEDINGS OF THE 10TH EUROPEAN
, 2005
"... In unit testing, a program is decomposed into units which are collections of functions. A part of unit can be tested by generating inputs for a single entry function. The entry function may contain pointer arguments, in which case the inputs to the unit are memory graphs. The paper addresses the pro ..."
Abstract
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Cited by 480 (22 self)
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the problem of automating unit testing with memory graphs as inputs. The approach used builds on previous work combining symbolic and concrete execution, and more specifically, using such a combination to generate test inputs to explore all feasible execution paths. The current work develops a method
Parallel discrete event simulation
, 1990
"... Parallel discrete event simulation (PDES), sometimes I called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises ..."
Abstract
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Cited by 818 (39 self)
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Parallel discrete event simulation (PDES), sometimes I called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises
Program Analysis and Specialization for the C Programming Language
, 1994
"... Software engineers are faced with a dilemma. They want to write general and wellstructured programs that are flexible and easy to maintain. On the other hand, generality has a price: efficiency. A specialized program solving a particular problem is often significantly faster than a general program. ..."
Abstract
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Cited by 629 (0 self)
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Software engineers are faced with a dilemma. They want to write general and wellstructured programs that are flexible and easy to maintain. On the other hand, generality has a price: efficiency. A specialized program solving a particular problem is often significantly faster than a general program
Pig Latin: A Not-So-Foreign Language for Data Processing
"... There is a growing need for ad-hoc analysis of extremely large data sets, especially at internet companies where innovation critically depends on being able to analyze terabytes of data collected every day. Parallel database products, e.g., Teradata, offer a solution, but are usually prohibitively e ..."
Abstract
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Cited by 607 (13 self)
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-level, procedural style of map-reduce. The accompanying system, Pig, is fully implemented, and compiles Pig Latin into physical plans that are executed over Hadoop, an open-source, map-reduce implementation. We give a few examples of how engineers at Yahoo! are using Pig to dramatically reduce the time required
� An Introduction to Dryad and
"... The goal of DryadLINQ is to make distributed computing on large computer clusters simple enough for ordinary programmers. DryadLINQ combines two important pieces of Microsoft technology: the Dryad distributed execution engine and the.NET Language Integrated Query (LINQ). About this brief: We introdu ..."
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The goal of DryadLINQ is to make distributed computing on large computer clusters simple enough for ordinary programmers. DryadLINQ combines two important pieces of Microsoft technology: the Dryad distributed execution engine and the.NET Language Integrated Query (LINQ). About this brief: We
The omnet++ discrete event simulation system
- In ESM’01
, 2001
"... performance analysis, computer systems, telecommunications, hierarchical The paper introduces OMNeT++, a C++-based discrete event simulation package primarily targeted at simulating computer networks and other distributed systems. OMNeT++ is fully programmable and modular, and it was designed from t ..."
Abstract
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Cited by 418 (1 self)
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the ground up to support modeling very large networks built from reusable model components. Large emphasis was placed also on easy traceability and debuggability of simulation models: one can execute the simulation under a powerful graphical user interface, which makes the internals of a simulation model
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
"... DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments such as SQL, MapReduce, and Dryad in two ways: by adopting an expressive data model of strongly typed.NET objects; and by s ..."
Abstract
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Cited by 273 (27 self)
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DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments such as SQL, MapReduce, and Dryad in two ways: by adopting an expressive data model of strongly typed.NET objects
Distance Browsing in Spatial Databases
, 1999
"... Two different techniques of browsing through a collection of spatial objects stored in an R-tree spatial data structure on the basis of their distances from an arbitrary spatial query object are compared. The conventional approach is one that makes use of a k-nearest neighbor algorithm where k is kn ..."
Abstract
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Cited by 390 (21 self)
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), in which case a query engine can make use of a pipelined strategy. A general incremental nearest neighbor algorithm is presented that is applicable to a large class of hierarchical spatial data structures. This algorithm is adapted to the R-tree and its performance is compared to an existing k
DryadOpt: Branch-and-Bound on Distributed Data-Parallel Execution Engines
"... Abstract—We introduce DryadOpt, a library that enables massively parallel and distributed execution of optimization algorithms for solving hard problems. DryadOpt performs an exhaustive search of the solution space using branch-and-bound, by recursively splitting the original problem into many simpl ..."
Abstract
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Cited by 11 (4 self)
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subproblems). The parallelism and distribution are handled automatically by DryadOpt, and are invisible to the user. The distinctive feature of our system is that it is implemented on top of DryadLINQ, a distributed data-parallel execution engine similar to Hadoop and Map-Reduce. Despite the fact
Results 1 - 10
of
7,465
