Intel Concurrent Collections (CnC) is a parallel programming model in which a network of steps (functions) communicate through message-passing as well as a limited form of shared memory. This paper describes a new implementation of CnC for Haskell. Compared to existing parallel programming models for Haskell, CnC occupies a useful point in the design space: pure and deterministic like Evaluation Strategies, but more explicit about granularity and the structure of the parallel computation, which affords the programmer greater control over parallel performance. We present results on 4, 8, and 32-core machines demonstrating parallel speedups over 20x on non-trivial benchmarks
We introduce the Concurrent Collections (CnC) programming model. CnC supports flexible combinations ...
. A monad for concurrent programming that is suitable for being built into Haskell is presented. The...
The research presented in this thesis is about the design and implementation of Naira, a parallel, p...
<p>With the emergence of commodity multicore architectures, exploiting tightly-coupled paralle...
If you want to program a parallel computer, a purely functional language like Haskell is a promising...
Conventional parallel programming is complex and error prone. To improve programmer productivity, w...
Nowadays, performance in processors is increased by adding more cores or wider vector units, or by c...
It has often been suggested that functional languages provide an excellent basis for programming par...
General purpose computing architectures are evolving quickly to become manycore and hierarchical: i...
Parallel computing has become firmly established since the 1980’s as the primary means of achieving ...
Nowadays, performance in processors is increased by adding more cores orwider vector units, or by co...
AbstractGeneral purpose computing architectures are evolving quickly to become many-core and hierarc...
This dissertation presents a number of methods to build massively concurrent network applications in...
We propose a model for measuring the runtime of concurrent programs by the minimal number of evaluat...
Over time, several competing approaches to parallel Haskell programming have emerged. Different appr...
We introduce the Concurrent Collections (CnC) programming model. CnC supports flexible combinations ...
. A monad for concurrent programming that is suitable for being built into Haskell is presented. The...
The research presented in this thesis is about the design and implementation of Naira, a parallel, p...
<p>With the emergence of commodity multicore architectures, exploiting tightly-coupled paralle...
If you want to program a parallel computer, a purely functional language like Haskell is a promising...
Conventional parallel programming is complex and error prone. To improve programmer productivity, w...
Nowadays, performance in processors is increased by adding more cores or wider vector units, or by c...
It has often been suggested that functional languages provide an excellent basis for programming par...
General purpose computing architectures are evolving quickly to become manycore and hierarchical: i...
Parallel computing has become firmly established since the 1980’s as the primary means of achieving ...
Nowadays, performance in processors is increased by adding more cores orwider vector units, or by co...
AbstractGeneral purpose computing architectures are evolving quickly to become many-core and hierarc...
This dissertation presents a number of methods to build massively concurrent network applications in...
We propose a model for measuring the runtime of concurrent programs by the minimal number of evaluat...
Over time, several competing approaches to parallel Haskell programming have emerged. Different appr...
We introduce the Concurrent Collections (CnC) programming model. CnC supports flexible combinations ...
. A monad for concurrent programming that is suitable for being built into Haskell is presented. The...
The research presented in this thesis is about the design and implementation of Naira, a parallel, p...