The Simple Essence of Algebraic Subtyping: Principal Type Inference with Subtyping Made Easy
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The Lasp programming language provides combinator functions such as Union and Intersection for combining set CRDTs. When designing a CRDT combinator, care must be taken to ensure that the combinator is monotone separately in each of its arguments, so that ...
Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...
Safe object initialization is important to avoid a category of runtime errors in programming languages. In this paper, we provide a case study of the initialization patterns on the Dotty compiler. In particular, we find that calling dynamic-dispatching met ...
This paper presents a theoretical foundation for functional language implementations of Behaviour–Interaction–Priority (BIP). We introduce a set of connector combinators describing synchronisation, data transfer, priorities and dynamicity in a principled w ...
Modern programming languages such as Scala, Java and C# make extensive use of collections. A collection implementation represents a fixed choice in the dimensions of operation time and space utilization. Using the collection in a manner not consistent with ...
We present short programs that demonstrate the unsoundness of Java and Scala's current type systems. In particular, these programs provide parametrically polymorphic functions that can turn any type into any type without (down) casting. Fortunately, parame ...
Assoc Computing Machinery2016
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When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, system software, and programming language compilers or their runtime systems can trade deviations from cor ...
ASSOC COMPUTING MACHINERY2020
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Many different data analytics tasks boil down to linear algebra primitives. In practice, for each different type of workload, data scientists use a particular specialised library. In this paper, we present Pilatus, a polymorphic iterative linear algebra la ...
2019
In the face of the increasing trend in application development to interact with more and more remote services, and cognizant of the fact that issues arising from data consistency and task coordination are core challenges in distributed programming, the sys ...
2017
Statically typed languages verify programs at compile-time. As a result many programming mistakes are detected at an early stage of development. A programmer does not have to specify types for every single term manually, however. Many programming languages ...