In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

We present BurstZ+, an accelerator platform that eliminates the communication bottleneck
between PCIe-attached scientific computing accelerators and their host servers, via …

Graphics Processing Units (GPUs) are used as general purpose parallel accelerators in a
wide range of applications. They are found in most computing systems, and mobile devices …

The trend towards specialization of software and hardware-fuelled by the end of Moore's law
and the still accelerating interest in domain-specific computing, such as machine learning …

Halide and many similar projects have demonstrated the great potential of domain specific
optimizing compilers. They enable programs to be expressed at a convenient high-level …

We formally introduce a systematic (de/re)-composition approach, based on the algebraic
formalism of" Multi-Dimensional Homomorphisms (MDHs)". Our approach is designed as …

We present BurstZ, a bandwidth-efficient accelerator platform for scientific computing. While
accelerators such as GPUs and FPGAs provide enormous computing capabilities, their …

Embedded software is found everywhere from our highly visible mobile devices to the
confines of our car in the form of smart sensors. Embedded software companies are under …

Many computationally-intensive algorithms benefit from the wide parallelism offered by
Graphical Processing Units (GPUs). However, the search for a close-to-optimal …

Stencil computations are a widely used type of algorithm, found in applications from physical
simulations to machine learning. Stencils are embarrassingly parallel, therefore fit on …