Efficient Implementation of XPath Processor on Multi-Core CPUs

نویسندگان

  • Martin Krulis
  • Jakub Yaghob
چکیده

Current XPath processors use direct approach to query evaluation which is quite inefficient in some cases and usually implemented serially. This may be a problem in case of processing complex queries on large documents. We propose algorithms and XML indexing techniques which are more efficient and which can utilize standard parallel templates. Our implementation is highly scalable and outperforms common XML libraries.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Heterogeneous Multicore Platform with Accelerator Templates and Its Implementation on an FPGA with Hard-core CPUs

Heterogeneous multi-core architectures with CPUs and accelerators attract many attentions since they can achieve power-efficient computing in various areas from low-power embedded processing to high-performance computing. Since the optimal architecture is different from application to application, finding the most suitable accelerator is very important. In this paper, we propose an FPGA-based h...

متن کامل

Efficient parallelization of the genetic algorithm solution of traveling salesman problem on multi-core and many-core systems

Efficient parallelization of genetic algorithms (GAs) on state-of-the-art multi-threading or many-threading platforms is a challenge due to the difficulty of schedulation of hardware resources regarding the concurrency of threads. In this paper, for resolving the problem, a novel method is proposed, which parallelizes the GA by designing three concurrent kernels, each of which running some depe...

متن کامل

Multilevel Algorithms for Multidimensional Integration in High Performance Computing Environment

A multilevel parallel adaptive algorithm for the approximate computation of a multidimensional integral over an hyperrectangular region is described. This new algorithm is aimed at an efficient implementation on a MIMD distributed memory Multiprocessor with multi-core CPUs. For this purpose two levels have been introduced in the algorithm: an upper level is responsible of the communication amon...

متن کامل

An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs

The tile QR factorization provides an efficient and scalable way for factoring a dense matrix in parallel on multicore processors. This article presents a way of efficiently implementing the algorithm on a system with a powerful GPU and many multicore CPUs.

متن کامل

Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations

Today, it is possible to associate multiple CPUs and multiple GPUs in a single shared memory architecture. Using these resources efficiently in a seamless way is a challenging issue. In this paper, we propose a parallelization scheme for dynamically balancing work load between multiple CPUs and GPUs. Most tasks have a CPU and GPU implementation, so they can be executed on any processing unit. W...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010