International audienceScientific programmers are eager to take advantage of the computational power offered by Distributed Computing Systems (DCSs), but are generally reluctant to undertake the porting of their application programs onto such machines. The DCS commercially available today are indeed widely believed to be difficult to use, which should not be a surprise since they are traditionally programmed with software tools dating back to the days of punch cards and paper tape. We claim that provided modern object oriented technologies are used, these computers can be programmed easily and efficiently. In EPEE, our Eiffel Parallel Execution Environment, we propose to use a kind of parallelism known as data-parallelism, encapsulated withi...
Encapsulating parallelism and synchronization code within object-oriented software components is a p...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
Many different data analytics tasks boil down to linear algebra primitives. In practice, for each di...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to exploit the computational power offered by...
International audience[Excerpt from the introduction] The spreading of Distributed Memory Parallel C...
Polymorphism in programming languages enables code reuse. Here, we show that polymorphism has broad ...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
As parallel systems have to undergo an unprecedented transition towards more parallelism and hybridi...
Version finale du 28 janvier 2001.The primary thesis topic is to study how object-oriented technolog...
Programming methods and environments designed for traditional mono-processor computers are hardly us...
Polymorphism in programming languages enables code reuse. Here, we show that polymorphism has broad ...
Nowadays, parallel computers have become ubiquitous and currentprocessors contain several execution ...
Parametric polymorphism has become a common feature of mainstream programming languages, but softwar...
Encapsulating parallelism and synchronization code within object-oriented software components is a p...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
Many different data analytics tasks boil down to linear algebra primitives. In practice, for each di...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to exploit the computational power offered by...
International audience[Excerpt from the introduction] The spreading of Distributed Memory Parallel C...
Polymorphism in programming languages enables code reuse. Here, we show that polymorphism has broad ...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
As parallel systems have to undergo an unprecedented transition towards more parallelism and hybridi...
Version finale du 28 janvier 2001.The primary thesis topic is to study how object-oriented technolog...
Programming methods and environments designed for traditional mono-processor computers are hardly us...
Polymorphism in programming languages enables code reuse. Here, we show that polymorphism has broad ...
Nowadays, parallel computers have become ubiquitous and currentprocessors contain several execution ...
Parametric polymorphism has become a common feature of mainstream programming languages, but softwar...
Encapsulating parallelism and synchronization code within object-oriented software components is a p...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
Many different data analytics tasks boil down to linear algebra primitives. In practice, for each di...