The Power of Moments: Why Certain Experiences Have Extraordinary ImpactSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
The Power of Moments: Why Certain Experiences Have Extraordinary Impact
Sprint: How to Solve Big Problems and Test New Ideas in Just Five DaysSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days
Building a StoryBrand: Clarify Your Message So Customers Will ListenSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Building a StoryBrand: Clarify Your Message So Customers Will Listen
The Power of Moments: Why Certain Experiences Have Extraordinary ImpactSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
The Power of Moments: Why Certain Experiences Have Extraordinary Impact
Sprint: How to Solve Big Problems and Test New Ideas in Just Five DaysSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days
Building a StoryBrand: Clarify Your Message So Customers Will ListenSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Building a StoryBrand: Clarify Your Message So Customers Will Listen
Liftoff: Elon Musk and the Desperate Early Days That Launched SpaceXSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Liftoff: Elon Musk and the Desperate Early Days That Launched SpaceX
Leaders Eat Last: Why Some Teams Pull Together and Others Don?tSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Leaders Eat Last: Why Some Teams Pull Together and Others Don?t
Venture Deals: Be Smarter Than Your Lawyer and Venture CapitalistSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Venture Deals: Be Smarter Than Your Lawyer and Venture Capitalist
Run Your Own Corporation: How to Legally Operate and Properly Maintain Your C...Schamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Run Your Own Corporation: How to Legally Operate and Properly Maintain Your Company Into the Future
Broke Millennial: Stop Scraping by and Get Your Financial Life TogetherSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Broke Millennial: Stop Scraping by and Get Your Financial Life Together
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
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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).
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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.
Liftoff: Elon Musk and the Desperate Early Days That Launched SpaceXSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Liftoff: Elon Musk and the Desperate Early Days That Launched SpaceX
Leaders Eat Last: Why Some Teams Pull Together and Others Don?tSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Leaders Eat Last: Why Some Teams Pull Together and Others Don?t
Venture Deals: Be Smarter Than Your Lawyer and Venture CapitalistSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Venture Deals: Be Smarter Than Your Lawyer and Venture Capitalist
Run Your Own Corporation: How to Legally Operate and Properly Maintain Your C...Schamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Run Your Own Corporation: How to Legally Operate and Properly Maintain Your Company Into the Future
Broke Millennial: Stop Scraping by and Get Your Financial Life TogetherSchamberger-Blick
How to Download Just Copy Paste the Link Into Your Browser
https://cdn.bkc1a.club/r/BR6sY6
Broke Millennial: Stop Scraping by and Get Your Financial Life Together
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
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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).
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
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).