149 research outputs found
Static Application-Level Race Detection in STM Haskell using Contracts
Writing concurrent programs is a hard task, even when using high-level
synchronization primitives such as transactional memories together with a
functional language with well-controlled side-effects such as Haskell, because
the interferences generated by the processes to each other can occur at
different levels and in a very subtle way. The problem occurs when a thread
leaves or exposes the shared data in an inconsistent state with respect to the
application logic or the real meaning of the data. In this paper, we propose to
associate contracts to transactions and we define a program transformation that
makes it possible to extend static contract checking in the context of STM
Haskell. As a result, we are able to check statically that each transaction of
a STM Haskell program handles the shared data in a such way that a given
consistency property, expressed in the form of a user-defined boolean function,
is preserved. This ensures that bad interference will not occur during the
execution of the concurrent program.Comment: In Proceedings PLACES 2013, arXiv:1312.2218. [email protected];
[email protected]
Efficient abstractions for visualization and interaction
Abstractions, such as functions and methods, are an essential tool for any programmer. Abstractions encapsulate the details of a computation: the programmer only needs to know what the abstraction achieves, not how it achieves it. However, using abstractions can come at a cost: the resulting program may be inefficient. This can lead to programmers not using some abstractions, instead writing the entire functionality from the ground up. In this thesis, we present several results that make this situation less likely when programming interactive visualizations. We present results that make abstractions more efficient in the areas of graphics, layout and events
How functional programming mattered
In 1989 when functional programming was still considered a niche topic, Hughes wrote a visionary paper arguing convincingly ‘why functional programming matters’. More than two decades have passed. Has functional programming really mattered? Our answer is a resounding ‘Yes!’. Functional programming is now at the forefront of a new generation of programming technologies, and enjoying increasing popularity and influence. In this paper, we review the impact of functional programming, focusing on how it has changed the way we may construct programs, the way we may verify programs, and fundamentally the way we may think about programs
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A graded Monad for deadlock-free concurrency (functional pearl)
We present a new type-oriented framework for writing shared memory multithreaded programs that the Haskell type system guarantees are deadlock-free. The implementation wraps all concurrent computation inside a graded monad and assumes a total order is defined between locks. The grades within the type of such a computation specify which locks it acquires and releases. This information is drawn from an algebra that ensures that types can, in principle, be inferred in polynomial time.Trinity College, Cambridg
The Remote Monad
Remote Procedure Calls are an integral part of the internet of things and cloud computing. However, remote procedures, by their very nature, have an expensive overhead cost of a network round trip. There have been many optimizations to amortize the network overhead cost, including asynchronous remote calls and batching requests together. In this dissertation, we present a principled way to batch procedure calls together, called the Remote Monad. The support for monadic structures in languages such as Haskell can be utilized to build a staging mechanism for chains of remote procedures. Our specific formulation of remote monads uses natural transformations to make modular and composable network stacks which can automatically bundle requests into packets by breaking up monadic actions into ideal packets. By observing the properties of these primitive operations, we can leverage a number of tactics to maximize the size of the packets. We have created a framework which has been successfully used to implement the industry standard JSON-RPC protocol, a graphical browser-based library, an efficient byte string implementation, a library to communicate with an Arduino board and database queries all of which have automatic bundling enabled. We demonstrate that the result of this investigation is that the cost of implementing bundling for remote monads can be amortized almost for free, when given a user-supplied packet transportation mechanism
Verificare: a platform for composable verification with application to SDN-Enabled systems
Software-Defined Networking (SDN) has become increasing prevalent
in both the academic and industrial communities. A new class of system built on
SDNs, which we refer to as SDN-Enabled, provide programmatic interfaces between
the SDN controller and the larger distributed system. Existing tools for SDN
verification and analysis are insufficiently expressive to capture
this composition of a network and a larger distributed system. Generic
verification systems are an infeasible solution, due to their monolithic
approach to modeling and rapid state-space explosion.
In this thesis we present a new compositional approach to system modeling and
verification that is particularly appropriate for SDN-Enabled systems.
Compositional models may have sub-components (such as switches and
end-hosts) modified, added, or removed with only minimal, isolated changes.
Furthermore, invariants may be defined over the composed system that restrict
its behavior, allowing assumptions to be added or removed and for components to
be abstracted away into the service guarantee that they provide (such as
guaranteed packet arrival). Finally, compositional modeling can minimize the
size of the state space to be verified by taking advantage of known model
structure.
We also present the Verificare platform, a tool chain for building
compositional models in our modeling language and automatically compiling them
to multiple off-the-shelf verification tools. The compiler outputs a minimal,
calculus-oblivious formalism, which is accessed by plugins via a translation
API. This enables a wide variety of requirements to be
verified. As new tools become available, the translator can easily be extended
with plugins to support them
Concurrency Controls in Event-Driven Programs
Functional reactive programming (FRP) is a programming paradigm that utilizes the concepts of functional programming and time-varying data types to create event-driven applications. In this paradigm, data types in which values can change over time are primitives and can be applied to functions. These values are composable and can be combined with functions to create values that react to changes in values from multiple sources. Events can be modeled as values that change in discrete time steps. Computation can be encoded as values that produce events, with combination operators, it enables us to write concurrent event-driven programs by combining the concurrent computation as events. Combined with the denotational approach of functional programming, we can write programs in a concise manner.
The style of event-driven programming has been widely adopted for developing graphical user interface applications, since they need to process events concurrently to stay responsive. This makes FRP a fitting approach for managing complex state and handling of events concurrently.
In recent years, real-time systems such as IoT (internet of things) applications have become an important field of computation. Applying FRP to real-time systems is still an active area of research.For IoT applications, they are commonly tasked to perform data capturing in real time and transmit them to other devices. They need to exchange data with other applications over the internet and respond in a timely manner. The data needs to be processed, for simple analysis or more computation intensive work such as machine learning. Designing applications that perform these tasks and remain efficient and responsive can be challenging.
In this thesis, we demonstrate that FRP is a suitable approach for real-time applications. These applications require soft real-time requirements, where systems can tolerate tasks that fail to meet the deadline and the results of these tasks might still be useful.First, we design the concurrency abstractions needed for supporting asynchronous computation and use it as the basis for building the FRP abstraction. Our implementation is in Haskell, a functional programming language with a rich type system that allows us to model abstractions with ease. The concurrency abstraction is based on some of the ideas from the Haskell solution for asynchronous computation, which elegantly supports cancelation in a composable way. Based on the Haskell implementation, we extend our design with operators that are more suitable for building web applications. We translate our implementation to JavaScript as it is more commonly used for web application development, and implementing the RxJS interface. RxJS is a popular JavaScript library for reactive programming in web applications. By implementing the RxJS interface, we argue that our programming model implemented in Haskell is also applicable in mainstream languages such as JavaScript
Compilation of extended recursion in call-by-value functional languages
This paper formalizes and proves correct a compilation scheme for
mutually-recursive definitions in call-by-value functional languages. This
scheme supports a wider range of recursive definitions than previous methods.
We formalize our technique as a translation scheme to a lambda-calculus
featuring in-place update of memory blocks, and prove the translation to be
correct.Comment: 62 pages, uses pi
Parallel evaluation strategies for lazy data structures in Haskell
Conventional parallel programming is complex and error prone. To improve programmer
productivity, we need to raise the level of abstraction with a higher-level
programming model that hides many parallel coordination aspects. Evaluation
strategies use non-strictness to separate the coordination and computation aspects
of a Glasgow parallel Haskell (GpH) program. This allows the specification of high
level parallel programs, eliminating the low-level complexity of synchronisation and
communication associated with parallel programming.
This thesis employs a data-structure-driven approach for parallelism derived through
generic parallel traversal and evaluation of sub-components of data structures. We
focus on evaluation strategies over list, tree and graph data structures, allowing
re-use across applications with minimal changes to the sequential algorithm.
In particular, we develop novel evaluation strategies for tree data structures, using
core functional programming techniques for coordination control, achieving more
flexible parallelism. We use non-strictness to control parallelism more flexibly. We
apply the notion of fuel as a resource that dictates parallelism generation, in particular,
the bi-directional flow of fuel, implemented using a circular program definition,
in a tree structure as a novel way of controlling parallel evaluation. This is the first
use of circular programming in evaluation strategies and is complemented by a lazy
function for bounding the size of sub-trees.
We extend these control mechanisms to graph structures and demonstrate performance
improvements on several parallel graph traversals. We combine circularity
for control for improved performance of strategies with circularity for computation
using circular data structures. In particular, we develop a hybrid traversal strategy
for graphs, exploiting breadth-first order for exposing parallelism initially, and
then proceeding with a depth-first order to minimise overhead associated with a full
parallel breadth-first traversal.
The efficiency of the tree strategies is evaluated on a benchmark program, and
two non-trivial case studies: a Barnes-Hut algorithm for the n-body problem and
sparse matrix multiplication, both using quad-trees. We also evaluate a graph search
algorithm implemented using the various traversal strategies.
We demonstrate improved performance on a server-class multicore machine with
up to 48 cores, with the advanced fuel splitting mechanisms proving to be more
flexible in throttling parallelism. To guide the behaviour of the strategies, we develop
heuristics-based parameter selection to select their specific control parameters
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