127,737 research outputs found
Tensor stability in Born-Infeld determinantal gravity
We consider the transverse-traceless tensor perturbation of a spatial flat
homogeneous and isotropic spacetime in Born-Infeld determinantal gravity, and
investigate the evolution of the tensor mode for two solutions in the early
universe. For the first solution where the initial singularity is replaced by a
regular geometric de Sitter inflation of infinite duration, the evolution of
the tensor mode is stable for the parameter spaces ,
and , . For the second solution where the
initial singularity is replaced by a primordial brusque bounce, which suffers a
sudden singularity at the bouncing point, the evolution of the tensor mode is
stable for all regions of the parameter space. Our calculation suggests that
the tensor evolution can hold stability in large parameter spaces, which is a
remarkable property of Born-Infeld determinantal gravity. We also constrain the
theoretical parameter by resorting to
the current bound on the speed of the gravitational waves.Comment: 14 pages, added a general discussion on the tensor stability in Sec.
3, and added Sec. 5 on the parameter constraint, published versio
AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture
CPU-FPGA heterogeneous architectures are attracting ever-increasing attention
in an attempt to advance computational capabilities and energy efficiency in
today's datacenters. These architectures provide programmers with the ability
to reprogram the FPGAs for flexible acceleration of many workloads.
Nonetheless, this advantage is often overshadowed by the poor programmability
of FPGAs whose programming is conventionally a RTL design practice. Although
recent advances in high-level synthesis (HLS) significantly improve the FPGA
programmability, it still leaves programmers facing the challenge of
identifying the optimal design configuration in a tremendous design space.
This paper aims to address this challenge and pave the path from software
programs towards high-quality FPGA accelerators. Specifically, we first propose
the composable, parallel and pipeline (CPP) microarchitecture as a template of
accelerator designs. Such a well-defined template is able to support efficient
accelerator designs for a broad class of computation kernels, and more
importantly, drastically reduce the design space. Also, we introduce an
analytical model to capture the performance and resource trade-offs among
different design configurations of the CPP microarchitecture, which lays the
foundation for fast design space exploration. On top of the CPP
microarchitecture and its analytical model, we develop the AutoAccel framework
to make the entire accelerator generation automated. AutoAccel accepts a
software program as an input and performs a series of code transformations
based on the result of the analytical-model-based design space exploration to
construct the desired CPP microarchitecture. Our experiments show that the
AutoAccel-generated accelerators outperform their corresponding software
implementations by an average of 72x for a broad class of computation kernels
Conformal Ricci flow on asymptotically hyperbolic manifolds
In this article we study the short-time existence of conformal Ricci flow on
asymptotically hyperbolic manifolds. We also prove a local Shi's type curvature
derivative estimate for conformal Ricci flow.Comment: 19 pages. No figur
Elliptic Algebra and Integrable Models for Solitons on Noncummutative Torus
We study the algebra and the basis of the Hilbert space in terms of the functions of the positions of solitons. Then
we embed the Heisenberg group as the quantum operator factors in the
representation of the transfer matrice of various integrable models. Finally we
generalize our result to the generic case.Comment: Talk given by Bo-Yu Hou at the Joint APCTP-Nankai Symposium. Tianjin
(PRC), Oct. 2001. To appear in the proceedings, to be published by Int. J.
Mod. Phys. B. 7 pages, latex, no figure
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