Fast and generic concurrent message-passing

Communication hardware and software have a significant impact on the performance of clusters and supercomputers. Message passing model and the Message-Passing Interface (MPI) is a widely used model of communications in the High-Performance Computing (HPC) community with great success. However, it has recently faced new challenges due to the emergence of many-core architecture and of programming models with dynamic task parallelism, assuming a large number of concurrent, light-weight threads. These applications come from important classes of applications such as graph and data analytics. Using MPI with these languages/runtimes is inefficient because MPI implementation is not able to perform well with threads. Using MPI as a communication middleware is also not efficient since MPI has to provide many abstractions that are not needed for many of the frameworks, thus having extra overheads. In this thesis, we studied MPI performance under the new assumptions. We identified several factors in the message-passing model which were inherently problematic for scalability and performance. Next, we analyzed the communication of a number of graph, threading and data-flow frameworks to identify generic patterns. We then proposed a low-level communication interface (LCI) to bridge the gap between communication architecture and runtime. The core of our idea is to attach to each message a few simple operations which fit better with the current hardware and can be implemented efficiently. We show that with only a few carefully chosen primitives and appropriate design, message-passing under this interface can easily outperform production MPI when running atop of multi-threaded environment. Further, using LCI is simple for various types of usage

Circular economic development in Vietnam

 In Vietnam, economic activity has so far been mainly based on the traditional approach, which is linear economy. This is also the basic cause leading to the shortage of natural resources and especially causing serious environmental pollution. In order to realize rapid and sustainable development, to harmoniously deal with the relationship between economic growth and environmental protection, to "do not trade off" economic growth with environmental pollution and degradation, to switch to an eco-friendly economy. circular economy is the right direction. However, this transformation requires seizing the opportunities and accepting the challenges that need to be overcome. The article analyzes opportunities and challenges of circular economy development and proposes solutions to promote circular economy development for Vietnam in the coming time

Propagating arbuscular mycorrhizal fungi associated with coffee plant by using the herbaceous host

Coffee (Coffea spp.) is one of important industrial crops. Additionally, arbuscular mycorrhizal fungi (AMF) provide many benefits for plants such as increasing nutrient uptake, enhancing tolerance in drought and stress condition, etc. Therefore, preservation and propagation of AMF spores collected from coffee’s rhizosphere are necessary for coffee cultivation. The AMF preservation on coffee plant is not feasible because coffee is a long-term plants, which led to study on symbiotic ability of AMF on several short-term host plants (maize (Zea mays), plantain (Plantago spp.), rice (Oryza sativa), beggarticks (Bidens pilosa), and bahia grass (Pensacola bahia)) to maintain AM association. Investigation of symbiosis ability with four types of AMF spores showed that maize had the highest rate of fungal infection. The total number of AMF spore per 50g soil after 3 months of inoculation on maize reached 352 spores, which was 4.1 times higher than that of the origin while the lowest figure recorded in bahia grass is with only 2.3 times

Capsule network with shortcut routing

This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies by directly activating global capsules from local capsules, eliminating intermediate layers. An attention-based approach with fuzzy coefficients is also explored for improved efficiency. Experimental results on Mnist, smallnorb, and affNist datasets show comparable classification performance, achieving accuracies of 99.52%, 93.91%, and 89.02% respectively. The proposed fuzzy-based and attention-based routing methods significantly reduce the number of calculations by 1.42 and 2.5 times compared to EM routing, highlighting their computational advantages in capsule networks. These findings contribute to the advancement of efficient and accurate hierarchical pattern representation models.Comment: 8 pages, published at IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences E104.A(8