NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget

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Why Petra Needs Its People 28:39

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For centuries, members of the B’doul Bedouin tribe lived in the caves around the ancient city of Petra, Jordan. Then, in the 1980s, the government forced the tribe to move in the name of preserving the geological site for tourists. But if the residents are forced to leave, and if their heritage has been permanently changed, then what exactly is being preserved? SHOW NOTES: Meet The Man Living in The Lost City Carved in Stone Jordan: Petra's tourism authority cracks down on Bedouin cave dwellers The tribes paying the brutal price of conservation “There is no future for Umm Sayhoun” Jordan’s Young Bedouins Are Documenting Their Traditions on TikTok Check out Sami's company Jordan Inspiration Tours Learn about your ad choices: dovetail.prx.org/ad-choices…

ongeveer een jaar geleden 42:06

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Chris Deotte is a Senior Data Scientist at NVIDIA and Jean-Francois Puget is the Director and a Distinguished Engineer at NVIDIA. Chris and Jean-Francois are also Kaggle Grandmasters, which is the highest rank a data scientist or machine learning practitioner can achieve on Kaggle, a competitive platform for data science challenges.

In this episode, they join the podcast with Sean Falconer to talk about Kaggle, GPU-acceleration for data science applications, where they’ve achieved the biggest performance gains, the unexpected challenges with tabular data, and much more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget appeared first on Software Engineering Daily.

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Software Engineering Daily

NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget

Software Engineering Daily

26 subscribers

published ongeveer een jaar geleden

MP3•Thuis aflevering

Please click here to see the transcript of this episode.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget appeared first on Software Engineering Daily.

116 afleveringen

#Tech News #Software Engineering Daily #News #Programming #Tech #Software Development #Open Source

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Software Engineering Daily

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55:46

David A. Patterson is a pioneering computer scientist known for his contributions to computer architecture, particularly as a co-developer of Reduced Instruction Set Computing, or RISC, which revolutionized processor design. He has co-authored multiple books, including the highly influential Computer Architecture: A Quantitative Approach. David is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer since 2016, the RIOS Laboratory Director, and the RISC-V International Vice-Chair. He received the 2017 Turing Award together with John L. Hennessy “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.” In this episode he joins Kevin Ball to talk about his life and career. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Turing Award Special: A Conversation with David Patterson appeared first on Software Engineering Daily .…

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At Uber, there are many platform teams supporting engineers across the company, and maintaining robust on-call operations is crucial to keeping services functioning smoothly. The prospect of enhancing the efficiency of these engineering teams motivated Uber to create Genie, which is an AI-powered on-call copilot. Genie assists with on-call management by providing real-time responses to queries, streamlining incident resolution, and facilitating team collaboration. Paarth Chothani is a Staff Software Engineer on the Uber AI Gen AI team. Eduards Sidorovics is a Senior Software Engineer on the Uber AI Platform team. In this episode they join the show with Sean Falconer to talk about the challenges that motivated the creation of Uber Genie, the architecture of Genie, and more. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Uber’s On-Call Copilot with Paarth Chothani and Eduards Sidorovics appeared first on Software Engineering Daily .…

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Turing Award Special: A Conversation with John Hennessy 38:53

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John Hennessy is a computer scientist, entrepreneur, and academic known for his significant contributions to computer architecture. He co-developed the RISC architecture, which revolutionized modern computing by enabling faster and more efficient processors. Hennessy served as the president of Stanford University from 2000 to 2016 and later co-founded MIPS Computer Systems and Atheros Communications. Currently, he serves on the board of the Gordon and Betty Moore Foundation, and is chair of the board of Alphabet. John received the 2017 Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.” In this episode he joins Kevin Ball to talk about his life and career. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Turing Award Special: A Conversation with John Hennessy appeared first on Software Engineering Daily .…

Software Engineering Daily

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Sourcegraph is a powerful code search and intelligence tool that helps developers navigate and understand large codebases efficiently. It provides advanced search functionality across multiple repositories, making it easier to find references, functions, and dependencies. Additionally, Sourcegraph integrates with various development workflows to streamline code reviews and collaboration across teams. Beyang Liu is the CTO and Co-Founder at Sourcegraph, where he has worked for the past twelve years. In this episode he joins the show with Sean Falconer to talk about the frontier of leveraging AI in software engineering. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Sourcegraph and the Frontier of AI in Software Engineering with Beyang Liu appeared first on Software Engineering Daily .…

Software Engineering Daily

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Turing Award Special: A Conversation with Jeffrey Ullman 37:45

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Jeffrey Ullman is a renowned computer scientist and professor emeritus at Stanford University, celebrated for his groundbreaking contributions to database systems, compilers, and algorithms. He co-authored influential texts like Principles of Database Systems and Compilers: Principles, Techniques, and Tools (often called the “Dragon Book”), which have shaped generations of computer science students. Jeffrey received the 2020 Turing Award together with Alfred Aho “for fundamental algorithms and theory underlying programming language implementation and for synthesizing these results and those of others in their highly influential books, which educated generations of computer scientists.” In this episode he joins Kevin Ball to talk about his life and career. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Turing Award Special: A Conversation with Jeffrey Ullman appeared first on Software Engineering Daily .…

Software Engineering Daily

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Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships, AI systems often rely on fixed context windows, leading to loss of important past interactions. Zep is a startup that’s developing a memory layer for AI agents using temporal Knowledge Graphs, enabling agents to retain long-term contextual information. It was founded in 2023 and was part of the Y Combinator batch of Winter 2024. Daniel Chalef is the Founder of Zep. He joins the show with Kevin Ball to talk about the challenge of contextual memory in AI, temporal knowledge graphs, ambient AI agents, and more. Be sure to check out Graphiti on GitHub and read the Zep White Paper on arXiv . Full Disclosure: This episode is sponsored by Zep. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Knowledge Graphs as Agentic Memory with Daniel Chalef appeared first on Software Engineering Daily .…

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Software Engineering Daily

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Jack Dongarra is an American computer scientist who is celebrated for his pioneering contributions to numerical algorithms and high-performance computing. He developed essential software libraries like LINPACK and LAPACK, which are widely used for solving linear algebra problems on advanced computing systems. Dongarra is also a co-creator of the TOP500 list, which ranks the world’s most powerful supercomputers. His work has profoundly impacted computational science, enabling advancements across numerous research domains. Jack received the 2021 Turing Award “for pioneering contributions to numerical algorithms and libraries that enabled high performance computational software to keep pace with exponential hardware improvements for over four decades.” He joins the podcast with Sean Falconer to talk about his life and career. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Turing Award Special: A Conversation with Jack Dongarra appeared first on Software Engineering Daily .…

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NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It leverages CUDA and significantly enhances the performance of core Python frameworks including Polars, pandas, scikit-learn and NetworkX. Chris Deotte is a Senior Data Scientist at NVIDIA and Jean-Francois Puget is the Director and a Distinguished Engineer at NVIDIA. Chris and Jean-Francois are also Kaggle Grandmasters, which is the highest rank a data scientist or machine learning practitioner can achieve on Kaggle, a competitive platform for data science challenges. In this episode, they join the podcast with Sean Falconer to talk about Kaggle, GPU-acceleration for data science applications, where they’ve achieved the biggest performance gains, the unexpected challenges with tabular data, and much more. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget appeared first on Software Engineering Daily .…

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A distributed system is a network of independent services that work together to achieve a common goal. Unlike a monolithic system, a distributed system has no central point of control, meaning it must handle challenges like data consistency, network latency, and system failures. Debugging distributed systems is conventionally considered challenging because modern architectures consist of numerous microservices communicating across networks, making failures difficult to isolate. The challenges and maintenance burdens can magnify as systems grow in size and complexity. Julia Blase is a Product Manager at Chronosphere where she works on features to help developers troubleshoot distributed systems more efficiently, including Differential Diagnosis, or DDx. DDx provides tooling to troubleshoot distributed systems, and emphasizes automation and developer experience. In this episode Julia joins Sean Falconer to talk about the challenges and emerging strategies to troubleshoot distributed systems. Full Disclosure: This episode is sponsored by Chronosphere. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Troubleshooting Microservices with Julia Blase appeared first on Software Engineering Daily .…

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The availability of high-quality AI model APIs has drastically lowered the barriers developing AI applications. These tools abstract away complex tasks such as model deployment, scaling, data retrieval, natural language processing, and text generation. Vercel has developed a complementary set of tools for building AI web applications, including their AI SDK, v0, and the shadcn/ui component framework. Ary Khandelwal and Max Leiter are on the AI team at Vercel. In this episode they join Kevin Ball to talk about the AI SDK, v0, shadcn/ui and the AI tooling ecosystem at Vercel. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Vercel’s Developer Frameworks with Ary Khandelwal and Max Leiter appeared first on Software Engineering Daily .…

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NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget