30,585 research outputs found
Mapping DSP algorithms to a reconfigurable architecture Adaptive Wireless Networking (AWGN)
This report will discuss the Adaptive Wireless Networking project. The vision of the Adaptive Wireless Networking project will be given. The strategy of the project will be the implementation of multiple communication systems in dynamically reconfigurable heterogeneous hardware. An overview of a wireless LAN communication system, namely HiperLAN/2, and a Bluetooth communication system will be given. Possible implementations of these systems in a dynamically reconfigurable architecture are discussed. Suggestions for future activities in the Adaptive Wireless Networking project are also given
High Performance Direct Gravitational N-body Simulations on Graphics Processing Units
We present the results of gravitational direct -body simulations using the
commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce
8800GTX, and compare the results with GRAPE-6Af special purpose hardware. The
force evaluation of the -body problem was implemented in Cg using the GPU
directly to speed-up the calculations. The integration of the equations of
motions were, running on the host computer, implemented in C using the 4th
order predictor-corrector Hermite integrator with block time steps. We find
that for a large number of particles (N \apgt 10^4) modern graphics
processing units offer an attractive low cost alternative to GRAPE special
purpose hardware. A modern GPU continues to give a relatively flat scaling with
the number of particles, comparable to that of the GRAPE. Using the same time
step criterion the total energy of the -body system was conserved better
than to one in on the GPU, which is only about an order of magnitude
worse than obtained with GRAPE. For N\apgt 10^6 the GeForce 8800GTX was about
20 times faster than the host computer. Though still about an order of
magnitude slower than GRAPE, modern GPU's outperform GRAPE in their low cost,
long mean time between failure and the much larger onboard memory; the
GRAPE-6Af holds at most 256k particles whereas the GeForce 8800GTF can hold 9
million particles in memory.Comment: Submitted to New Astronom
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