To fully tap into the potential of heterogeneous machines composed of multicore processors
and multiple accelerators, simple offloading approaches in which the main trunk of the …

In this paper, we present the design and implementation of an Open Computing Language
(OpenCL) framework that targets heterogeneous accelerator multicore architectures with …

Modern database engines balance the demanding requirements of mixed, hybrid
transactional and analytical processing (HTAP) workloads by relying on i) global shared …

MATLAB is an array language, initially popular for rapid prototy**, but is now being
increasingly used to develop production code for numerical and scientific applications …

Hybrid caching techniques and garbage collection using hybrid caching techniques are
provided. A determination of a measure of a characteristic of a data object is performed, the …

Heterogeneous multicores, such as Cell BE processors and GPGPUs, typically do not have
caches for their accelerator cores because coherence traffic, cache misses, and latencies …

In recent years, image processing has been a key application area for mobile and
embedded computing platforms. In this context, many-core accelerators are a viable solution …

Multicore machines equipped with accelerators are becoming increasingly popular in the
High Performance Computing ecosystem. Hybrid architectures provide significantly …

Computer vision and computational photography are hot applications areas for mobile and
embedded computing platforms. As a consequence, many-core accelerators are being …

Scratchpad memory (SPM) is considered a useful component in the memory hierarchy,
solely or along with caches, for meeting the power and energy constraints as performance …