It is generally accepted that a custom hardware implementation of a set of computations will
provide superior speed and energy efficiency relative to a software implementation …

We propose a new set of OS abstractions to support GPUs and other accelerator devices as
first class computing resources. These new abstractions, collectively called the PTask API …

Develo** server applications that offload computation and data to a NIC accelerator is
laborious because one has to explore the design space of decisions about data placement …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Computer architectures are quickly changing toward heterogeneous many-core systems.
Such a trend opens up interesting opportunities but also raises immense challenges since …

The halt in clock frequency scaling has forced architects and language designers to look
elsewhere for continued improvements in performance. We believe that extracting maximum …

As growing power dissipation and thermal effects disrupted the rising clock frequency trend
and threatened to annul Moore's law, the computing industry has switched its route to higher …

Computer architectures are quickly changing toward heterogeneous many-core systems.
Such a trend opens up interesting opportunities but also raises immense challenges since …

Developers accelerating applications on FPGAs or other reconfigurable logic have nothing
but raw memory devices in their standard toolkits. Each project typically includes tedious …

FPGAs are an attractive platform for applications with high computation demand and low
energy consumption requirements. However, design effort for FPGA implementations …