With the rise of multicore computers, parallel applications no longer consist solely of
computational, batch workloads, but also include applications that may, for example, take …

High-level-synthesis (HLS) tools generate accelerators from software programs to ease the
task of building hardware. Unfortunately, current HLS tools have limited support for …

Achieving parallel performance and scalability involves making compromises between
parallel and sequential computation. If not contained, the overheads of parallelism can …

Task parallelism research has traditionally focused on optimizing computation-intensive
applications. Due to the proliferation of commodity parallel processors, there has been …

Record-and-replay systems are useful tools for debugging non-deterministic parallel
programs by first recording an execution and then replaying that execution to produce the …

Many-to-many mapping models for user-to kernel-level threads (or" M: N threads") have
been extensively studied for decades as a lightweight substitute for current Pthreads …

User-level threads have been widely adopted as a means of achieving lightweight
concurrent execution without the costs of OS-level threads. Nevertheless, the costs of …

A performance vs. practicality trade-off exists between user-level threading techniques. The
community has settled mostly on a black-and-white perspective; fully fledged threads …

The Traveling Salesman Problem is a conceptually simple problem that is computationally
difficult due to the size of the search space, which grows factorially with the number of cities …

In distributed systems, there is often a need to combine the heterogeneous access control
policies to offer more comprehensive services to users in the local or national level. A large …