Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Naga K. Govindaraju"'
Autor:
Jamie Schwartz, David Alan Hepkin, Melur K. Raghuraman, Mark Russinovich, Arun U. Kishan, Naga K. Govindaraju
Publikováno v:
EuroSys
Host software updates are critical to ensure the security, reliability and compliance of public clouds. Many updates require a virtualization component restart or operating system reboot. Virtual machines (VMs) running on the updated servers must eit
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 22:608-620
We design and implement Mars, a MapReduce runtime system accelerated with graphics processing units (GPUs). MapReduce is a simple and flexible parallel programming paradigm originally proposed by Google, for the ease of large-scale data processing on
Publikováno v:
ACM Transactions on Graphics. 29:1-11
We present a method for real-time sound propagation that captures all wave effects, including diffraction and reverberation, for multiple moving sources and a moving listener in a complex, static 3D scene. It performs an offline numerical simulation
Publikováno v:
ACM Transactions on Database Systems. 34:1-39
Graphics processors (GPUs) have recently emerged as powerful coprocessors for general purpose computation. Compared with commodity CPUs, GPUs have an order of magnitude higher computation power as well as memory bandwidth. Moreover, new-generation GP
Publikováno v:
ACM Transactions on Graphics. 27:1-32
We present a novel shadow map parameterization to reduce perspective aliasing artifacts for both point and directional light sources. We derive the aliasing error equations for both types of light sources in general position. Using these equations we
Publikováno v:
Proceedings of the IEEE. 96:808-815
In this paper, we present some of the challenges and opportunities in software development based on the current hardware trends and the impact of massive parallelism on both the software and hardware industry. We indicate some of the approaches that
Autor:
Naga K. Govindaraju, Dinesh Manocha
Publikováno v:
PARCO
We present cache-efficient algorithms for scientific computations using graphics processing units (GPUs). Our approach is based on mapping the nested loops in the numerical algorithms to the texture mapping hardware and efficiently utilizing GPU cach
Publikováno v:
ACM Transactions on Graphics. 25:1144-1153
We present novel algorithms to perform collision and distance queries among multiple deformable models in dynamic environments. These include inter-object queries between different objects as well as intra-object queries. We describe a unified approa
Publikováno v:
Presence: Teleoperators and Virtual Environments. 15:62-76
We present a fast collision culling algorithm for performing inter- and intra-object collision detection among complex models using graphics hardware. Our algorithm utilizes visibility queries on the GPUs to eliminate a subset of geometric primitives
Autor:
Russell Gayle, Ilknur Kabul, David Knott, Naga K. Govindaraju, Nitin Jain, Dinesh Manocha, Ming C. Lin, Rasmus Tamstorf
Publikováno v:
ACM Transactions on Graphics. 24:991-999
We present a novel algorithm for accurately detecting all contacts, including self-collisions, between deformable models. We precompute a chromatic decomposition of a mesh into non-adjacent primitives using graph coloring algorithms. The chromatic de