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Bidirectional Transformations: A Cross-Discipline Perspective: GRACE Meeting Notes, State of the Art, and Outlook
Abstract The GRACE International Meeting on Bidirectional Transformations was held in
December 2008 near Tokyo, Japan. The meeting brought together researchers and …
December 2008 near Tokyo, Japan. The meeting brought together researchers and …
A summary of research on blockchain in the field of intellectual property
J Wang, S Wang, J Guo, Y Du, S Cheng, X Li - Procedia computer science, 2019 - Elsevier
With the continuous development and application of blockchain technology, the academic
and commercial circles are constantly exploring the research directions and practical …
and commercial circles are constantly exploring the research directions and practical …
Apache calcite: A foundational framework for optimized query processing over heterogeneous data sources
Apache Calcite is a foundational software framework that provides query processing,
optimization, and query language support to many popular open-source data processing …
optimization, and query language support to many popular open-source data processing …
Pivot tracing: Dynamic causal monitoring for distributed systems
Monitoring and troubleshooting distributed systems is notoriously difficult; potential problems
are complex, varied, and unpredictable. The monitoring and diagnosis tools commonly used …
are complex, varied, and unpredictable. The monitoring and diagnosis tools commonly used …
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-
scale data analysis [17]. Although the basic control flow of this framework has existed in …
scale data analysis [17]. Although the basic control flow of this framework has existed in …
Conclave: secure multi-party computation on big data
Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint
computations without revealing private data. Current MPC algorithms scale poorly with data …
computations without revealing private data. Current MPC algorithms scale poorly with data …
FlumeJava: easy, efficient data-parallel pipelines
C Chambers, A Raniwala, F Perry, S Adams… - ACM Sigplan …, 2010 - dl.acm.org
MapReduce and similar systems significantly ease the task of writing data-parallel code.
However, many real-world computations require a pipeline of MapReduces, and …
However, many real-world computations require a pipeline of MapReduces, and …
tf. data: A machine learning data processing framework
DG Murray, J Simsa, A Klimovic, I Indyk - ar** high-performance software is a difficult task that requires the use of low-level,
architecture-specific programming models (eg, OpenMP for CMPs, CUDA for GPUs, MPI for …
architecture-specific programming models (eg, OpenMP for CMPs, CUDA for GPUs, MPI for …
{PRETZEL}: Opening the black box of machine learning prediction serving systems
Machine Learning models are often composed of pipelines of transformations. While this
design allows to efficiently execute single model components at training time, prediction …
design allows to efficiently execute single model components at training time, prediction …