Irregular applications, such as graph analytics and sparse linear algebra, exhibit frequent
indirect, data-dependent accesses to single or short sequences of elements that cause high …

Meshes are an indispensable representation in many graphics applications because they
provide conformal spatial discretizations. However, mesh-based operations are often slow …

FPGA-based graph processing accelerators, enabling extensive customization, have
demonstrated significant energy efficiency over general computing engines like CPUs and …

Existing tiled manycore architectures propose to convert abundant silicon resources into
general-purpose parallel processors with unmatched computational density and …

To overcome the current performance wall, data streaming and data-flow computing
paradigms have been gradually making their way into the general-purpose domain …

Manycore architectures integrate hundreds of cores on a single chip by using simple cores
and simple memory systems usually based on software-managed scratchpad memories …

Future CPU-manycore heterogeneous systems can provide high peak throughput by
integrating thousands of simple, independent, energy-efficient cores in a single die …

Dennard scaling has come to an end. General-purpose architecture now can hardly have
major improvements in power efficiency. Therefore, recently researchers have been actively …

Traditionally, computer architecture has been dominated by overly complex instruction sets
that created a” solution” to every problem by adding another instruction. If these complex …

Recent industry manycores have transitioned to disintegrated designs with multiple chips
within a package. Disintegration can make larger and higher performance systems …