In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

Parallel algorithms can be hard to write, and even harder to debug. Testing, though essential, is insufficient, as fatal race conditions can have extremely low probabilities of occurrence. Proofs of ...

The chips in most modern desktop computers have four "cores," or processing units, which can run different computational tasks in parallel. But the chips of the future could have dozens or even ...

One of the goals in high-performance computing (HPC) is to achieve the best possible performance from parallel computers. But performance can be measured in a variety of ways; in HPC, we are generally ...

Many applications in computational science need to approximate a function based on ?nite data. When the data are in a certain sense “scattered” in their domain, one very powerful technique is radial ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...