The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallelism instead of frequency scaling for better compute capacity. The multiprocessor architectures being developed will have a major impact on existing software. Current languages provide facilities for concurrent and distributed programming, but are prone to races and non-determinism. SHIM, a deterministic concurrent language, guarantees the behavior of its programs are independent of the scheduling of concurrent operations. The language currently supports atomic arrays only, i.e., parts of arrays cannot be sent to concurrent processes for evaluation (and edition). In this report, we propose a way to add non-atomic arrays to SHIM and describe th...
Concurrent programs are hard to design, develop, and debug. It is widely accepted that we lack good ...
International audienceA programming model that is widely approved today for large applications is pa...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
Embedded systems demand concurrency for supporting simultaneous actions in their environment and par...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Multicore shared-memory architectures are becoming prevalent and bring many programming challenges. ...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Concurrent programming languages are good for embedded systems because they match the parallelism of...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Concurrent programming languages are growing in importance with the advent of multicore systems. Two...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Concurrent programs are hard to design, develop, and debug. It is widely accepted that we lack good ...
International audienceA programming model that is widely approved today for large applications is pa...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
Embedded systems demand concurrency for supporting simultaneous actions in their environment and par...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Multicore shared-memory architectures are becoming prevalent and bring many programming challenges. ...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Concurrent programming languages are good for embedded systems because they match the parallelism of...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Concurrent programming languages are growing in importance with the advent of multicore systems. Two...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Concurrent programs are hard to design, develop, and debug. It is widely accepted that we lack good ...
International audienceA programming model that is widely approved today for large applications is pa...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...