The Data Center analysis of change in active residential addresses based on Valassis residential and business database to examine where the most neighborhood growth has happened in past years, as well as how much neighborhoods have recovered since Hurricane Katrina.
The Coastal Index: Tracking development of the water management cluster in So...GNOCDC
Five years after the Deepwater Horizon oil spill, Southeast Louisiana is situated to capture the economic opportunity of a lifetime—an opportunity that’s derived from a water management economy catalyzed by massive federal investment and augmented by state and local investments in coastal restoration, levees, and urban water innovations. Water management has the potential to be to Southeast Louisiana what software is to Austin, what biotech is to Boston, or what e-commerce is to Seattle.A water management cluster—one that contains local companies large and small that compete, innovate, collaborate, and ultimately export knowledge to other regions all the while investing and growing jobs within Southeast Louisiana—is within reach. However, in order to become a nationally-recognized cluster built upon regional expertise, certain economic, social, and political factors must be aligned to propel the water management economy from a mere concentration of jobs into a vibrant economic cluster.
The Data Center analysis of change in active residential addresses based on Valassis residential and business database to examine where the most neighborhood growth has happened in past years, as well as how much neighborhoods have recovered since Hurricane Katrina.
The Coastal Index: Tracking development of the water management cluster in So...GNOCDC
Five years after the Deepwater Horizon oil spill, Southeast Louisiana is situated to capture the economic opportunity of a lifetime—an opportunity that’s derived from a water management economy catalyzed by massive federal investment and augmented by state and local investments in coastal restoration, levees, and urban water innovations. Water management has the potential to be to Southeast Louisiana what software is to Austin, what biotech is to Boston, or what e-commerce is to Seattle.A water management cluster—one that contains local companies large and small that compete, innovate, collaborate, and ultimately export knowledge to other regions all the while investing and growing jobs within Southeast Louisiana—is within reach. However, in order to become a nationally-recognized cluster built upon regional expertise, certain economic, social, and political factors must be aligned to propel the water management economy from a mere concentration of jobs into a vibrant economic cluster.
Who Lives in New Orleans and Metro Parishes Now? GNOCDC
This brief examines 2013 demographic data recently released by the U.S. Census Bureau and identifies important trends in metro area parishes. Included are data on race and ethnicity, age, educational attainment, internet access, poverty, income, children, access to vehicles, foreign-born population, geographic mobility, homeownership, homeowners with a mortgage, housing costs and affordability, single-person households, commuting, and housing stock.
The Coastal Index: The Problem and Possibility of Our CoastGNOCDC
In 2010, the Deepwater Horizon oil platform blew up and sank 45 miles from Plaquemines Parish, spilling millions of barrels of oil into the Gulf. The spill added to the ongoing deterioration of our coasts, and although it remains a working coast of national economic importance, residents are moving inland. At the same time, the billions of dollars being spent to protect and restore the coast can add to a firm economic foundation established by a long history of working and living with water. A promising “water management” sector is developing that can diversify the economy and bolster Southeast Louisiana’s sustainability for the long term.
It has been eight years since Katrina struck and the levees failed. And in just two more years at the 10th anniversary, the nation will turn its attention to our region to see whether the massive federal and charitable investments here have paid off. So we’re taking stock now. Where have we made progress? Where do we have more work to do? And has the New Orleans metro really broken from its historic path and taken up a new trajectory akin to Austin, Raleigh, and Nashville?
These slides go along with The New Orleans Index at Six. The Index provides the most up–to–date data on New Orleans’ transition from recovery to transformation. It is intended to be part of an ongoing series of reports that measure progress and prosperity in the greater New Orleans area with indicators selected from reliable data sources that are regularly updated to allow for tracking going forward.
Who Lives in New Orleans and the metro area now?GNOCDC
These slides go along with the brief entitled "Who Lives In New Orleans and the Metro Area Now?", which examines 2010 demographic data from the U.S. Census Bureau and identifies significant changes since the Census 2000 in parishes across the metro area. Included are data on poverty, income, educational attainment, access to vehicles, the foreign born population, and homeowners without a mortgage.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Who Lives in New Orleans and Metro Parishes Now? GNOCDC
This brief examines 2013 demographic data recently released by the U.S. Census Bureau and identifies important trends in metro area parishes. Included are data on race and ethnicity, age, educational attainment, internet access, poverty, income, children, access to vehicles, foreign-born population, geographic mobility, homeownership, homeowners with a mortgage, housing costs and affordability, single-person households, commuting, and housing stock.
The Coastal Index: The Problem and Possibility of Our CoastGNOCDC
In 2010, the Deepwater Horizon oil platform blew up and sank 45 miles from Plaquemines Parish, spilling millions of barrels of oil into the Gulf. The spill added to the ongoing deterioration of our coasts, and although it remains a working coast of national economic importance, residents are moving inland. At the same time, the billions of dollars being spent to protect and restore the coast can add to a firm economic foundation established by a long history of working and living with water. A promising “water management” sector is developing that can diversify the economy and bolster Southeast Louisiana’s sustainability for the long term.
It has been eight years since Katrina struck and the levees failed. And in just two more years at the 10th anniversary, the nation will turn its attention to our region to see whether the massive federal and charitable investments here have paid off. So we’re taking stock now. Where have we made progress? Where do we have more work to do? And has the New Orleans metro really broken from its historic path and taken up a new trajectory akin to Austin, Raleigh, and Nashville?
These slides go along with The New Orleans Index at Six. The Index provides the most up–to–date data on New Orleans’ transition from recovery to transformation. It is intended to be part of an ongoing series of reports that measure progress and prosperity in the greater New Orleans area with indicators selected from reliable data sources that are regularly updated to allow for tracking going forward.
Who Lives in New Orleans and the metro area now?GNOCDC
These slides go along with the brief entitled "Who Lives In New Orleans and the Metro Area Now?", which examines 2010 demographic data from the U.S. Census Bureau and identifies significant changes since the Census 2000 in parishes across the metro area. Included are data on poverty, income, educational attainment, access to vehicles, the foreign born population, and homeowners without a mortgage.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.