Construction permit values in Houston totaled $8.9 billion for the 12 months ending in March 2015, a 40.3% increase from the previous year. Residential permit values rose 32.4% while nonresidential permits grew 45.2%. In March 2015 specifically, total permitting activity decreased slightly by 0.5% due to a 29.3% drop in residential permits, though this was offset by a 13.6% rise in commercial permits.
JLL Pittsburgh Chart of the Week: November 2, 2015Andrew Batson
Tenant demand has been positive through the first three quarters of 2015, with the region recording more than 300,000 square feet of net absorption. However, headwinds are on the horizon as a number of corporate consolidations set to transpire over the next three years will place upward pressure on vacancy rates across the metro.
JLL Pittsburgh Chart of the Week: October 26, 2015Andrew Batson
Tenant demand has been positive through the first three quarters of 2015, with the region recording more than 300,000 square feet of net absorption. However, headwinds are on the horizon as a number of corporate consolidations set to transpire over the next three years will place upward pressure on vacancy rates across the metro.
Chris Hotze Stone Construction Houston TX is a graduate from the University of Texas at Austin. He has an MBA from the University of St. Thomas in Houston, he attended Law School at South Texas College of Law.
JLL Pittsburgh Chart of the Week: November 2, 2015Andrew Batson
Tenant demand has been positive through the first three quarters of 2015, with the region recording more than 300,000 square feet of net absorption. However, headwinds are on the horizon as a number of corporate consolidations set to transpire over the next three years will place upward pressure on vacancy rates across the metro.
JLL Pittsburgh Chart of the Week: October 26, 2015Andrew Batson
Tenant demand has been positive through the first three quarters of 2015, with the region recording more than 300,000 square feet of net absorption. However, headwinds are on the horizon as a number of corporate consolidations set to transpire over the next three years will place upward pressure on vacancy rates across the metro.
Chris Hotze Stone Construction Houston TX is a graduate from the University of Texas at Austin. He has an MBA from the University of St. Thomas in Houston, he attended Law School at South Texas College of Law.
FUNCTIONAL AND INFORMATIONAL MODEL OF EXPERT SPECIALIZATION USING IDEF STANDARDMandar Trivedi
For process of modeling are developed suitable CASE tools. In the course of
building this process a standard is used for functional modeling of IDEF0 realized through
BPWin tool. Family of integrated IDEF methods presents basic tool of some modern
strategies and methodologies of business process improvement, like for example: BPR, CPI,
IPD, TQM etc. In paper is given functional and informational model of ″Process of expert
specialization of employees in education″ using graphical language IDEF0 that is, CASE
Bpwin tool.
Functional and Information Modeling of Production Using IDEF MethodsMandar Trivedi
Suitable CASE tools are developed for modeling processes. When building this process a
standard is used for the functional modeling of IDEF0, through the use of the BPWin tool. The family of
integrated IDEF methods presents the basic tools of some modern strategies and methodologies of
business process improvement. This paper details the functional and informational model of sInvestment
building of production facilitys using graphical language IDEF0; i.e., CASE BPWin tool. We also suggest
a context diagram, an information model and a decomposition diagram of production - investment
building.
FUNCTIONAL AND INFORMATIONAL MODEL OF EXPERT SPECIALIZATION USING IDEF STANDARDMandar Trivedi
For process of modeling are developed suitable CASE tools. In the course of
building this process a standard is used for functional modeling of IDEF0 realized through
BPWin tool. Family of integrated IDEF methods presents basic tool of some modern
strategies and methodologies of business process improvement, like for example: BPR, CPI,
IPD, TQM etc. In paper is given functional and informational model of ″Process of expert
specialization of employees in education″ using graphical language IDEF0 that is, CASE
Bpwin tool.
Functional and Information Modeling of Production Using IDEF MethodsMandar Trivedi
Suitable CASE tools are developed for modeling processes. When building this process a
standard is used for the functional modeling of IDEF0, through the use of the BPWin tool. The family of
integrated IDEF methods presents the basic tools of some modern strategies and methodologies of
business process improvement. This paper details the functional and informational model of sInvestment
building of production facilitys using graphical language IDEF0; i.e., CASE BPWin tool. We also suggest
a context diagram, an information model and a decomposition diagram of production - investment
building.
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. For the latest data, click here.
April 24, 2015
City of Houston construction permits totaled $8.9 billion for the 12 months ending March ’15,
up 40.3 percent from $6.3 billion for the 12 months ending March ’14. According to the latest
data released by the city’s Department of Public Works & Engineering Planning & Development
Services, residential permit values rose 32.4 percent from $2.4 billion to $3.2 billion, and
nonresidential permits grew 45.2 percent from $3.9 billion to $5.7 billion.
City of Houston permitting activity totaled $626.7 million in March ’15, a 0.5 percent decrease
from $630.1 million in March ’14. Growth in commercial permits offset the drop in residential
permits.
Permits for non-residential buildings rose 13.6 percent from $422.6 million in March ’14
to $480.0 million in March ’15. During this period, permits for retail construction grew
from $1.6 million to $30.9 million and permits for school construction increased from
$178,000 to $31.7 million. Meanwhile, permits for office construction slipped from
$133.6 million to $19.7 million.
Residential permits decreased 29.3 percent from $207.6 million in March ’14 to $146.7
million in March ’15. Multi-family permits drove the decline with an over-the-year drop
from $81.5 million to $20.1 million. Single-family permits recorded a slight decrease
from $106.5 million to $102.5 million.
0
1
2
3
4
5
6
7
8
9
10
'05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16
$Billions
Source: City of Houston
CITY OF HOUSTON BUILDING PERMIT VALUE
12-Month Total
Residential Nonresidential Total
2. Prepared by Greater Houston Partnership Research Department
Patrick Jankowski, CCR
Senior Vice President, Research
713-844-3616
pjankowski@houston.org
Jenny Philip
Senior Manager, Economic Research
713-844-3615
jphilip@houston.org
