Eric Roman

Tessellation: refactoring the OS around explicit resource containers with continuous adaptation

Adaptive Resource-Centric Computing (ARCC) enables a simultaneous mix of high-throughput parallel, real-time, and interactive applications through automatic discovery of the correct mix of resource assignments necessary to achieve application requirements. This approach, embodied in the Tessellation manycore operating system, distributes resources to QoS domains called cells. Tessellation separates global decisions about the allocation of resources to cells from application-specific scheduling of resources within cells. We examine the implementation of ARCC in the Tessellation OS, highlight Tessellations ability to provide predictable performance, and investigate the performance of Tessellation services within cells.

Ab initio study of the nonlinear optics of III-V semiconductors in the terahertz regime

We compute from first principles the infrared dispersion of the nonlinear susceptibility

Orientation Dependence of the Intrinsic Anomalous Hall Effect in hcp Cobalt

\chi^{(2)}

New 3d graphics rendering engine architecture for direct tessellation of spline surfaces

in zincblende semiconductors. At terahertz frequencies the nonlinear susceptibility depends not only on the purely electronic response

Extensions for 3d graphics rendering engine used for direct tessellation of spline surfaces

\chi^{(2)}_{\infty}

Time-Sharing Redux for Large-Scale HPC Systems

, but also on three other parameters

Structural and orientation dependence of the anomalous Hall effect in cobalt crystals

C_1

Orientation and temperature dependence of the anomalous Hall effect in hcp cobalt

,

Wannier interpolation study of the Elliot-Yafet spin relaxation in metals

C_2

Nonlinear optics of zincblende semiconductors in the terahertz regime: an ab-initio study

and