Accelerating a single thread in current parallel systems remains a challenging problem, because sequential threads do not naturally take advantage of the additional cores. Recent work shows that automatic extraction of pipeline parallelism is an ...

We present new techniques for compilation of arbitrarily nested loops with affine dependences for distributed-memory parallel architectures. Our framework is implemented as a source-level transformer that uses the polyhedral model, and generates ...

OpenCL has become the de-facto data parallel programming model for parallel devices in today's high-performance supercomputers. OpenCL was designed with the goal of guaranteeing program portability across hardware from different vendors. However, ...

Ubiquitous parallel computing aims to make parallel programming accessible to a wide variety of programming areas using deterministic and scale-free programming models built on a task abstraction. However, it remains hard to reconcile these attributes ...

With the advent of programmer-friendly GPU computing environments, there has been much interest in offloading workloads that can exploit the high degree of parallelism available on modern GPUs. Exploiting this parallelism and optimizing for the GPU ...