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Approximation Algorithms for Modern Multi-Processor Scheduling Problems

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Overview of New Approaches for Approximating TSP

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n this extended abstract, we survey some of the recent results on approximating the traveling salesman problem on graphic metrics. We start by briefly explaining the algorithm of Oveis Gharan et al. [1] that has strong similarities to Christofides’ famo ...

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Classical list scheduling is a very popular and efficient technique for scheduling jobs for parallel and distributed platforms. It is inherently centralized. However, with the increasing number of processors, the cost for managing a single centralized list ...

2013

Outsourced Pattern Matching

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In secure delegatable computation, computationally weak devices (or clients) wish to outsource their computation and data to an untrusted server in the cloud. While most earlier work considers the general question of how to securely outsource any computati ...

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Randomized versus Deterministic Implementations of Concurrent Data Structures

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One of the key trends in computing over the past two decades has been increased distribution, both at the processor level, where multi-core architectures are now the norm, and at the system level, where many key services are currently distributed overmulti ...

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How to Allocate Tasks Asynchronously

Rachid Guerraoui, Seth Gilbert, Dan Alistarh

Asynchronous task allocation is a fundamental problem in distributed computing in which p asynchronous processes must execute a set of m tasks. Also known as write-all or do-all, this problem been studied extensively, both independently and as a key buildi ...

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Santa Claus Schedules Jobs On Unrelated Machines

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One of the classic results in scheduling theory is the 2-approximation algorithm by Lenstra, Shmoys, and Tardos for the problem of scheduling jobs to minimize makespan on unrelated machines; i.e., job j requires time p(ij) if processed on machine i. More t ...

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The polynomial Hirsch conjecture states that the vertex-edge diameter of a d-dimensional polyhedron with n facets is bounded by a polynomial in d and n. For the special case where the polyhedron is defined as the set of points satisfying a system Ax ≤ b of ...

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Ola Nils Anders Svensson, Lukas Polacek

The restricted max-min fair allocation problem (also known as the restricted Santa Claus problem) is one of few problems that enjoys the intriguing status of having a better estimation algorithm than approximation algorithm. Indeed, Asadpour et al. [1] pro ...

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Optimizing over the Growing Spectrahedron

Martin Jaggi

We devise a framework for computing an approximate solution path for an important class of parameterized semidefinite problems that is guaranteed to be ε-close to the exact solution path. The problem of computing the entire regularization path for matrix f ...

Springer Berlin Heidelberg2012

How to Allocate Tasks Asynchronously

Rachid Guerraoui, Seth Gilbert, Dan Alistarh

Asynchronous task allocation is a fundamental problem in distributed computing, in which p asyn- chronous processes must execute a set of m tasks. Also known as write-all or do-all, this problem been studied extensively, both independently and as a key bui ...

2012