The document provides specifications for the ARENDAL SPIRIT, an offshore unit for maintenance and safety that can accommodate 500 people with over 2,000 square meters of deck area and a variable deck load capacity of around 4,500 tons. Key features include a cylindrical double hull design, 7 knot speed, accommodation for 500 people in offices and meeting rooms, and equipment like cranes, tanks, workshops, and dynamic positioning. The unit is classed by DNV and was delivered in 2015 to Petrobras for operations in Brazil.
Carta subscrita por diversas entidades e pelo deputado Carlos Neder cobra da Secrearia Municipal de Habitação explicações sobre a derrubada de 17 barracos da Favela do Sapo.
Carta subscrita por diversas entidades e pelo deputado Carlos Neder cobra da Secrearia Municipal de Habitação explicações sobre a derrubada de 17 barracos da Favela do Sapo.
TAMA AERNOVA is a company with a thirty years experience in the field of air filtration. Leader of the sector at an international level in the design, production and supply of products for the purification of air from dust, fumes and gases from the various phases of industrial processing.
DEALERS OF:
CONVENTIONAL PALLET RACKING SYSTEMS
MULTI TIER RACKING SYSTEMS
HIGH RISE RACKS
MEZZANINE FLOORING SYSTEM
DRIVE IN/ MULTI DEEP RACKING
LONG SPAN SHELVING RACKS
CANTILEVER RACKS
GRAVITY RACKS
SLOTTED ANGLE RACKS
STEEL PALLETS
Teekay Offshore Production’s annual sustainability reporting is one of the means of which we examine and elaborate on our targets, performance and initiatives within the area of sustainability. This report describes our impact on and approach to sustainability and associated challenges and opportunities. We strive to consider people, planet and profit in all of our decisions and actions. Sustainability is a core value in Teekay and ensures the long-term health and success of our people, our business and the surroundings we work in.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).