Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Timothy Blattner"'
Autor:
Jing Xie, Jiahao Wu, Alexandre Bardakoff, Walid Keyrouz, Shuvra S. Bhattacharyya, Timothy Blattner
Publikováno v:
Journal of Real-Time Image Processing. 18:561-583
Processing large images in real time requires effective image processing algorithms as well as efficient software design and implementation to take full advantage of all CPU cores and GPU resources on state of the art CPU/GPU platforms. Efficiently c
Publikováno v:
PAMM. 20
Autor:
Gerson C. Kroiz, Loïc Yon, Walid Keyrouz, Alexandre Bardakoff, Timothy Blattner, Bruno Bachelet
Publikováno v:
PAW-ATM@SC
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Nov 2020, Atlanta, United States. pp.1-15, ⟨10.1109/PAWATM51920.2020.00006⟩
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Nov 2020, Atlanta, United States. pp.1-15, ⟨10.1109/PAWATM51920.2020.00006⟩
Getting performance on high-end heterogeneous nodes is challenging. This is due to the large semantic gap between a computation's specification-possibly mathematical formulas or an abstract sequential algorithm-and its parallel implementation; this g
Publikováno v:
GPU Technology Conference (GTC)
GPU Technology Conference (GTC), NVIDIA, Mar 2020, San Diego, United States
HAL
GPU Technology Conference (GTC), NVIDIA, Mar 2020, San Diego, United States
HAL
International audience; We present Hedgehog, a general-purpose library for taking advantage of powerful compute nodes, multicore CPUs, and multiple GPUs. The novel aspects of Hedgehog are: (1) its explicit representation of a program as a dataflow gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c614fcc451f57a355f0a803553e3b75e
https://hal.science/hal-02981031
https://hal.science/hal-02981031
Publikováno v:
Journal of Signal Processing Systems. 91:981-994
This paper presents a model-based design method and a corresponding new software tool, the HTGS Model-Based Engine (HMBE), for designing and implementing dataflow-based signal processing applications on multi-core architectures. HMBE provides complem
Publikováno v:
GlobalSIP
Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and p
Autor:
Joe Chalfoun, Michael Majurski, Mary Brady, Peter Bajcsy, Timothy Blattner, Walid Keyrouz, Kiran Bhadriraju
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Scientific Reports
Scientific Reports
Automated microscopy can image specimens larger than the microscope’s field of view (FOV) by stitching overlapping image tiles. It also enables time-lapse studies of entire cell cultures in multiple imaging modalities. We created MIST (Microscopy I
Publikováno v:
DATE
Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to a
Publikováno v:
SiPS
In this paper, we present a new software tool, called HTGS Model-based Engine (HMBE), for the design and implementation of multicore signal processing applications. HMBE provides complementary capabilities to HTGS (Hybrid Task Graph Scheduler), which
Autor:
Shiming Yang, Timothy Blattner
Publikováno v:
Concurrency and Computation: Practice and Experience. 24:167-177
Modern graphics cards provide computational capabilities that exceed current CPUs. As one of the computational intensive problems, numerical weather prediction has the opportunity to benefit from the massive number of threads and large memory through