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🌟1/3: Introducing mm2-gb, GPU-accelerated Minimap2 for long-read DNA mapping! 🔥 mm2-gb accelerates Minimap2's bottleneck (chaining) on GPUs without compromising accuracy. 🚀 Kudos to Xueshen Liu Joy Dong, Satish Narayanasamy & Gina Sitaraman Computer Science and Engineering at Michigan AMD Michigan Engineering

🌟 2/3: Performance Boost! mm2-gb achieves 2.57-5.33x improvement on long nanopore reads (10kb-100kb) and a 1.87x gain on super long reads (100kb-300kb) compared to SIMD-accelerated mm2-fast. 🚀 #ResearchAdvancements #ScienceMatters

🌟 3/3: Open Source! mm2-gb is open-sourced and ready for exploration. Dive into the code, contribute, and be part of the genomics revolution! 🧬🔬biorxiv.org/content/10.110… github.com/Minimap2onGPU/… #OpenScience #Collaboration #Teamwork #ResearchBreakthrough

We've got a fantastic new two-part blog series for you! 🔥 #AMD Lab Notes introduces the concept of #affinity, and its importance for achieving #performance on AMD GPU nodes👇 ✨ Part 1: gpuopen.com/learn/amd-lab-… ✨ Part 2: gpuopen.com/learn/amd-lab-… #amdlabnotes

We have another new #AMDLabNotes blog for you today! 🥼🗒️ With the recent release of #ROCm 6.1, discover how C++17 parallel algorithms can be transparently offloaded onto #AMD GPUs via HIPSTDAR: gpuopen.com/learn/amd-lab-…

The #AMDLabNotes team are on 🔥 lately, because we have another NEW AMDLabNotes post for you! 🥼🗒️ This detailed blog discusses various #ROCm tools that developers can leverage to port existing applications from #CUDA ➡️ #HIP 🛠️ #HPC gpuopen.com/learn/amd-lab-…

Excited to share a pre-print of our latest work, "The Genomic Computing Revolution: Defining the Next Decades of Accelerating Genomics"! 🧬💻 researchgate.net/publication/38…

As we look to optimize more of Minimap2 on the GPUs in mm2-gb, we are looking for feedbacks from our user community. Please feel free to reach out to us. github.com/Minimap2onGPU/… Joy Dong , Gina Sitaraman , AMD , University of Michigan Oxford Nanopore