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Dan Greenfield

Co-founder and CEO/CTO

Dan Greenfield is a prominent figure in the tech industry, known for his role as the Co-Founder and CEO/CTO of cunoFS, a brand under PetaGene. He has extensive experience in high-tech companies and startups, particularly in Silicon Valley, where he has held various leadership positions in architecture, design, and team management.12

Educational Background

Dan holds a PhD from Cambridge University, where his dissertation made significant contributions to computer architecture, network organization, and neuroscience. His work earned him the 2011 BCS Distinguished Dissertation Prize, recognizing it as the top PhD dissertation in Computer Science in the UK. He also possesses a Master's degree in Bioinformatics.145

Professional Achievements

Throughout his career, Dan has led numerous innovative projects:

  • PetaGene: Co-founded in 2016, PetaGene focuses on genomic data compression and encryption, producing award-winning software like PetaSuite. The company has been recognized multiple times at Bio-IT World for its advancements in genomic data management.124
  • cunoFS: Launched in 2022, cunoFS transforms object storage into a high-performance POSIX-compatible file system. It aims to improve access to data stored in object storage systems like S3, achieving impressive performance benchmarks.236

Contributions to Technology

Dan's contributions extend beyond software; he has designed hardware innovations such as the first floating-point shader for GPUs and has worked on various machine learning and computer vision projects. His consulting experience includes work on ASIC design and online gaming applications.13

Recognition

In addition to his academic accolades, Dan's work has been influential in shaping machine learning architectures at companies like Graphcore and Cerebras. His leadership in developing cutting-edge technologies continues to impact both the tech industry and healthcare sectors significantly.12

Overall, Dan Greenfield's expertise and leadership have positioned him as a key player in advancing data management technologies within high-performance computing environments.

Highlights

Jan 24 · linkedin

Storing data for ML applications in object storage, such as S3 and Azure Blob Storage, is increasingly desired: the storage is relatively low-cost and is highly scalable.

The problem with using object storage, though, is that ML tools don't work well with it. Loading large datasets in tools like PyTorch requires either downloading them to local storage first, or using TorchData (now deprecated) or mount-s3 (for AWS). These approaches to data loading are slow and painful to use.

With cunoFS, we're focusing on improving the performance and ease of object storage access, and ML workloads are one of the key use cases for us. We've developed a PyTorch accelerator package, which is specifically designed to make object storage access in PyTorch way faster and simpler than the alternatives.

Blog post with the details in the comments.

Oct 13 · linkedin

This week we launched cunoFS! https://lnkd.in/ecBKszqD

cunoFS lets you interact with S3-compatible object storage as if it were a native filesystem, with high performance (up to 50x faster than other direct S3 access 🚅) and POSIX compatibility that makes it easy to support any new or existing application 🛠️. Free for personal use, with plans available for professional and enterprise use.

Related Questions

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Dan Greenfield
Dan Greenfield, photo 1
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Location

Greater Cambridge Area