Concurrent programming languages are good for embedded systems because they match the parallelism of their environments, but most concurrent languages are nondeterministic, making coding in them unwieldy. We present R-SHIM, the core of a language with concurrent recursive procedure calls and disciplined shared variables that remains deterministic -- the behavior of a program is scheduling-independen
Synchronous languages ensure deterministic concurrency, but at the price of heavy restrictions on wh...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
SHIM is a concurrent deterministic programming language for embedded systems built on rendezvous com...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
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...
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. ...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Programming concurrent systems is substantially more difficult than programming sequential systems, ...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
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...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallel...
Synchronous languages ensure deterministic concurrency, but at the price of heavy restrictions on wh...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
SHIM is a concurrent deterministic programming language for embedded systems built on rendezvous com...
Concurrent programming languages should be a good fit for embedded systems because they match the in...
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...
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. ...
Multicore shared-memory architectures are becoming prevalent but bring many programming challenges. ...
Programming concurrent systems is substantially more difficult than programming sequential systems, ...
Describing parallel hardware and software is difficult, especially in an embedded setting. Five year...
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...
Parallel architectures are the way of the future, but are notoriously difficult to program. In addit...
The use of multiprocessor configurations over uniprocessor is rapidly increasing to exploit parallel...
Synchronous languages ensure deterministic concurrency, but at the price of heavy restrictions on wh...
Most compilers focus on optimizing performance, often at the expense of memory, but efficient memory...
SHIM is a concurrent deterministic programming language for embedded systems built on rendezvous com...