Multicore shared-memory architectures are becoming prevalent and bring many programming challenges. Among the biggest are data races: accesses to shared resources that make a program's behavior depend on scheduling decisions beyond its control. To eliminate such races, the SHIM concurrent programming language adopts deterministic message passing as it sole communication mechanism. We demonstrate such language restrictions are practical by presenting a SHIM to C-plus-Pthreads compiler that can produce efficient code for shared-memory multiprocessors. We present a parallel JPEG decoder and FFT exhibiting 3.05 and 3.3times speedups on a four-core processor
The currently dominant programming models to write software for multicore processors use threads tha...
The advent of multicores mandates parallel programming. While parallelism presents a panoply of prob...
The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallel...
Embedded systems demand concurrency for supporting simultaneous actions in their environment and par...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
Concurrent programming languages are good for embedded systems because they match the parallelism of...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Concurrent programming languages are growing in importance with the advent of multicore systems. Two...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Programming concurrent systems is substantially more difficult than programming sequential systems, ...
The currently dominant programming models to write software for multicore processors use threads tha...
The advent of multicores mandates parallel programming. While parallelism presents a panoply of prob...
The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallel...
Embedded systems demand concurrency for supporting simultaneous actions in their environment and par...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
Concurrent programming languages are good for embedded systems because they match the parallelism of...
Nondeterminism is a central challenge in most concurrent models of computation. That programmers mus...
Concurrent programming languages are growing in importance with the advent of multicore systems. Two...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
Programming concurrent systems is substantially more difficult than programming sequential systems, ...
The currently dominant programming models to write software for multicore processors use threads tha...
The advent of multicores mandates parallel programming. While parallelism presents a panoply of prob...
The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallel...