The Geometry of Information Retrieval
The Geometry of Information Retrieval
Geometry and Meaning
Linear algebra operators for GPU implementation of numerical algorithms
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
High performance MPI design using unreliable datagram for ultra-scale InfiniBand clusters
Proceedings of the 21st annual international conference on Supercomputing
Fast support vector machine training and classification on graphics processors
Proceedings of the 25th international conference on Machine learning
High performance discrete Fourier transforms on graphics processors
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Adapting a message-driven parallel application to GPU-accelerated clusters
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Graphical Processing Units for Quantum Chemistry
Computing in Science and Engineering
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
Predictive Runtime Code Scheduling for Heterogeneous Architectures
HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units
Using graphics processors for high performance IR query processing
Proceedings of the 18th international conference on World wide web
Semantic Spaces: Measuring the Distance between Different Subspaces
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
Parallel latent semantic analysis using a graphics processing unit
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Singular value decomposition on GPU using CUDA
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Inducing Shades of Meaning by Matrix Methods: A First Step Towards Thematic Analysis of Opinion
SEMAPRO '09 Proceedings of the 2009 Third International Conference on Advances in Semantic Processing
Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
A general matrix framework for modelling Information Retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Best-effort semantic document search on GPUs
Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units
State-of-the-art in heterogeneous computing
Scientific Programming
Programming Massively Parallel Processors: A Hands-on Approach
Programming Massively Parallel Processors: A Hands-on Approach
Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units
Computing in Science and Engineering
Data-Intensive Text Processing with MapReduce
Data-Intensive Text Processing with MapReduce
Compositional matrix-space models of language
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Multi-GPU MapReduce on GPU Clusters
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
Holographic reduced representations
IEEE Transactions on Neural Networks
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High-performance computational resources and distributed systems are crucial for the success of real-world language technology applications. The novel paradigm of general-purpose computing on graphics processors (GPGPU) offers a feasible and economical alternative: it has already become a common phenomenon in scientific computation, with many algorithms adapted to the new paradigm. However, applications in language technology do not readily adapt to this approach. Recent advances show the applicability of quantum metaphors in language representation, and many algorithms in quantum mechanics have already been adapted to GPGPU computing. SQUALAR aims to match quantum algorithms with heterogeneous computing to develop new formalisms of information representation for natural language processing in quantum environments.