scholarly journals Study of appropriate offload destination based on software arithmetic intensity

2021 ◽  
Author(s):  
Yoji Yamato

IEICE Technical Workshop on Network Software, BS-26-2.I have proposed environment-adaptive software that automatically converts the description code according to the destination device and operates it with high performance. Currently, for environments where GPUs, FPGAs, and manycore CPUs are mixed in the cloud or so on, all offload destination performance is verified and the fastest migration destination is selected, and it takes a long time. In this paper, I use the Arithmetic Intensity of the application loop statement to verify whether it is possible to select for GPU or manycore CPU.

2021 ◽  
Author(s):  
Yoji Yamato

IEICE Technical Workshop on Network Software, BS-25-2.I have proposed environment adaptive software that automatically converts, resource settings, and deploys the code once written according to the deployment destination environment hardware, and operates it with high performance. I also have been working on automatic conversion of code to GPU and FPGA. In this paper, I initially examine an appropriate placement method that satisfies the user's requirements and reduces the cost, response time and so on of an application that has been automatically converted so that it can be placed on GPU or FPGA.


2021 ◽  
Author(s):  
Yoji Yamato

IEICE technical workshop on Network Software, NWS-19-6.Recently, heterogeneous hardware such as GPU and FPGA is used in many systems and also IoT devices are increased rapidly. However, to utilize heterogeneous hardware, the hurdles are high because of much technical skills. I have proposed environment adaptive software to operate an once written application with high performance by automatically converting the code and configuring setting so that we can utilize GPU, FPGA and IoT devices in the location to be deployed and I have also achieved automatic GPU offloading partly. In this paper, I study a method of FPGA offloading which automatically extracts appropriate loop statements of application software.


2009 ◽  
Vol 419-420 ◽  
pp. 1-4 ◽  
Author(s):  
Ying Wei Yun ◽  
Ii Young Jang ◽  
Seong Kyum Kim ◽  
Seung Min Park

High-performance concrete (HPC) as a promising construction material has been widely used in infrastructures and high-rise buildings etc. However, its pretty high autogenous shrinkage (AS) especially in its early age becomes one of the key problems endangering long-time durability of HPC structures. This paper carried out the early age AS research of large scaled HPC column specimens by embedded Fiber Bragg-Grating (FBG) strain sensor. Temperature compensation for FBG strain sensor by thermocouple was also attempted in this paper, and the results were reasonable and acceptable comparing with the result compensated by FBG temperature sensor. Reinforcement influence, size effect and temperature effect on HPC AS were also analyzed respectively in this paper.


2018 ◽  
pp. 104-106
Author(s):  
Artur Vardanyan

Cluster computing is becoming increasingly practical for high performance computing research and development. A computer cluster is a set of connected computers that work together so that, they can be viewed as a single system. Clusters offer a scalable means of linking computers together to provide an expansive environment for hosting enterprise applications. As the number of nodes in cluster configurations grows, the cluster administration becomes more challenging. We need to study the challenges of cluster management and to provide a solution. To have an effective cluster management we need to have an effective task scheduling algorithm. With the explosive growth of information, the demand on computing is sharply increasing. Due to a large number of computing tasks, the scheduling algorithm is an important part of cluster computing and has a great influence on the quality of claster service. In cluster computing, some large tasks may occupy too many resources and some small tasks may wait for a long time based on First-In-First-Out (FIFO) scheduling algorithm. This paper provides an overview of an improved scheduling algorithm that shortens the execution time of tasks and increases the resource utilization.


2021 ◽  
Author(s):  
Yoji Yamato

IEICE Technical Report, IN2020-30.In recent years, utilization of heterogeneous hardware other than small core CPU such as GPU, FPGA or many core CPU is increasing. However, when using heterogeneous hardware, barriers of technical skills such as OpenMP, CUDA and OpenCL are high. Based on that, I have proposed environment-adaptive software that enables automatic conversion, configuration, and high performance operation of once written code, according to the hardware to be placed. However, including existing technologies, there has been no research to properly and automatically offload the mixed offloading destination environment such as GPU, FPGA and many core CPU. In this paper, as a new element of environment-adaptive software, I study a method for offloading applications properly and automatically in the environment where the offloading destination is mixed with GPU, FPGA and many core CPU. I evaluate the effectiveness of the proposed method in multiple applications.


2016 ◽  
Vol 2016 (DPC) ◽  
pp. 000324-000341 ◽  
Author(s):  
Chet Palesko ◽  
Amy Palesko

2.5D and 3D packaging can provide significant size and performance advantages over other packaging technologies. However, these advantages usually come at a high price. Since 2.5D and 3D packaging costs are significant, today they are only used if no other option can meet the product requirements, and most of these applications are relatively low volume. Products such as high end FPGAs, high performance GPUs, and high bandwidth memory are great applications but none have volume requirements close to mobile phones or tablets. Without the benefit of volume production, the cost of 2.5D and 3D packaging could stay high for a long time. In this paper, we will provide cost model results of a complete 2.5D and 3D manufacturing process. Each manufacturing activity will be included and the key cost drivers will be analyzed regarding future cost reductions. Expensive activities that are well down the learning curve (RDL creation, CMP, etc.) will probably not change much in the future. However, expensive activities that are new to this process (DRIE, temporary bond/debond, etc.) provide good opportunities for cost reduction. A variety of scenarios will be included to understand how design characteristics impact the cost. Understanding how and why the dominant cost components will change over time is critical to accurately predicting the future cost of 2.5D and 3D packaging.


2019 ◽  
Vol 36 (8) ◽  
pp. 2811-2834 ◽  
Author(s):  
Song Cen ◽  
Cheng Jin Wu ◽  
Zhi Li ◽  
Yan Shang ◽  
Chenfeng Li

Purpose The purpose of this paper is to give a review on the newest developments of high-performance finite element methods (FEMs), and exhibit the recent contributions achieved by the authors’ group, especially showing some breakthroughs against inherent difficulties existing in the traditional FEM for a long time. Design/methodology/approach Three kinds of new FEMs are emphasized and introduced, including the hybrid stress-function element method, the hybrid displacement-function element method for Mindlin–Reissner plate and the improved unsymmetric FEM. The distinguished feature of these three methods is that they all apply the fundamental analytical solutions of elasticity expressed in different coordinates as their trial functions. Findings The new FEMs show advantages from both analytical and numerical approaches. All the models exhibit outstanding capacity for resisting various severe mesh distortions, and even perform well when other models cannot work. Some difficulties in the history of FEM are also broken through, such as the limitations defined by MacNeal’s theorem and the edge-effect problems of Mindlin–Reissner plate. Originality/value These contributions possess high value for solving the difficulties in engineering computations, and promote the progress of FEM.


Molecules ◽  
2020 ◽  
Vol 25 (13) ◽  
pp. 3067
Author(s):  
Pei Lou Wong ◽  
Nurul Azila Fauzi ◽  
Siti Norhamimah Mohamed Yunus ◽  
Nur Ashikin Abdul Hamid ◽  
Siti Zulaikha Abd Ghafar ◽  
...  

Plants and plant-based products have been used for a long time for medicinal purposes. This study aimed to determine the antioxidant and anti-α-glucosidase activities of eight selected underutilized plants in Malaysia: Leucaena leucocephala, Muntingia calabura, Spondias dulcis, Annona squamosa, Ardisia elliptica, Cynometra cauliflora, Ficus auriculata, and Averrhoa bilimbi. This study showed that the 70% ethanolic extract of all plants exhibited total phenolic content (TPC) ranging from 51 to 344 mg gallic acid equivalent (GAE)/g dry weight. A. elliptica showed strong 2,2-diphenyl-1-picrylhydrazyl (DPPH) and nitric oxide (NO) scavenging activities, with half maximal inhibitory concentration (IC50) values of 2.17 and 49.43 μg/mL, respectively. Most of the tested plant extracts showed higher inhibition of α-glucosidase enzyme activity than the standard, quercetin, particularly A. elliptica, F. auriculata, and M. calabura extracts with IC50 values of 0.29, 0.36, and 0.51 μg/mL, respectively. A total of 62 metabolites including flavonoids, triterpenoids, benzoquinones, and fatty acids were tentatively identified in the most active plant, i.e., A. elliptica leaf extract, by using ultra-high-performance liquid chromatography (UHPLC)–electrospray ionization (ESI) Orbitrap MS. This study suggests a potential natural source of antioxidant and α-glucosidase inhibitors from A. elliptica.


2007 ◽  
Vol 35 (4) ◽  
pp. 317-325 ◽  
Author(s):  
Yugo Zuigyo ◽  
Masahiko Yamamoto

Abstract Rayon, nylon, and polyester have been used for a long time as general tire reinforcements. Recently application of p-aramid fiber, which has high tenacity and high modulus properties, is gradually increasing in order to satisfy high-performance requirements, large tires, and tire weight reduction. However, in working with high-strength and high-modulus fibers such as p-aramid it is normally difficult to obtain excellent adhesion with simple processing methods and their fatigue resistances are not good. This time we have focused on a new high-tenacity and high-modulus “polyketone” fiber obtained by gel-spun technology and performed a basic study in tire cord application. Through laboratory evaluation, we have confirmed that polyketone cord fiber has excellent adhesion, comparable with rayon and nylon, and good fatigue resistance in comparison with rayon. In addition, through its tire evaluation as a body-ply cord and cap-ply cord for PCR tires, we have confirmed its performance advantage in comparison to current tire cords.


2011 ◽  
Vol 487 ◽  
pp. 347-351
Author(s):  
Bo Jiang Ma ◽  
X. Cai ◽  
L.A. Li

The high performance diamond brazed saw was developed to cut efficiently AZ31 Magnesium Alloy. The Ti-coated diamond and the uncoated diamond were brazed with NiCr alloy by high-frequency induction under argon atmosphere at 1040°C within 20 seconds. Scanning electron microscopy (SEM), energy dispersion spectrometer (EDS) and X-ray diffraction (XRD) were used to investigate the interfacial microstructures between brazed diamond and the filler alloy. The results show that Cr-carbides forms normally and compactly on the surface of Ti-coated diamond brazed, whereas Cr-carbide forms tangentially and loosely on the surface of uncoated diamond brazed. That is because Ti has changed the mechanism of Cr-carbides formed on the surface of diamond brazed. The test of cutting AZ31 magnesium alloy plate shows that the section cut by Ti-coated diamond saw is much smoother than that cut by uncoated diamond saw after a long time.


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