Parallel Software and Systems Group

140 posts

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Parallel Software and Systems Group

Parallel Software and Systems Group

@hpc_group

The Parallel Software and Systems Group is a research group @UofMaryland @umdcs, directed by Prof. @bhatele. Research on HPC, Vis. and ML. RTs ≠ endorsements.

College Park Katılım Nisan 2020
89 Takip Edilen380 Takipçiler
Parallel Software and Systems Group
Congratulations to Dr. Joy Kitson for successfully defending her PhD dissertation last Friday (April 10)! That makes her the fifth PhD student to graduate from our group. Dissertation title: "Scaling Agent-based Epidemic Diffusion on HPC Clusters"
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On Mar 25, we set a personal record with 2 PhD defenses in a day! Congrats to @onurcankur & @jhdavis_josh for their excellent work: Onur's title: "Longitudinal Data Analytics of HPC Systems & Applications" Josh's title: "LLM-driven Development of Performant & Portable GPU Codes"
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We are on a roll, second successful dissertation defense in a week (March 28)! Congratulations to @siddharth_3773 on becoming the second PhD graduate from PSSG!! Dissertation title: "Optimizing Communication in Parallel Deep Learning on Exascale-class Machines" #HPC #AI #HPC4AI
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We present our very first newly minted Dr. Daniel Nichols (@DanielNichols10), who successfully defended his dissertation today. Congrats & best wishes for a bright future ahead!! Dissertation Title: "On Learning Behaviors of Parallel Code and Systems Across Modalities" #HPC #AI
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Soheil Feizi
Soheil Feizi@FeiziSoheil·
Come see our #NeurIPS2024 poster today on" Loki: Low-rank Keys for Efficient Sparse Attention" Paper: arxiv.org/abs/2406.02542 Code: github.com/hpcgroup/loki Loki is a sparse attention method that reduces the computational and memory costs of LLM inference! By exploiting the low-dimensional space of key vectors in self-attention, Loki achieves faster attention computation without compromising model performance.
Parallel Software and Systems Group@hpc_group

Can we get away w/ reducing attention keys to a lower-dimensional space to optimize compute during inference? @prajwal1210 & @siddharth_3773 investigated using PCA on key vectors & found that the rank of attention keys is much lower than the full dimensionality. #NeurIPS2024

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Prajwal Singhania
Prajwal Singhania@prajwal1210·
Want to learn about our findings around the low-rank structure of attention keys, and how to use it to improve sparse attention? Come to our poster at #NeurIPS2024 tomorrow (Friday) at the East Exhibit Hall from 11-2 (Poster #2000)!
Parallel Software and Systems Group@hpc_group

Can we get away w/ reducing attention keys to a lower-dimensional space to optimize compute during inference? @prajwal1210 & @siddharth_3773 investigated using PCA on key vectors & found that the rank of attention keys is much lower than the full dimensionality. #NeurIPS2024

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Neel Jain
Neel Jain@neeljain1717·
Excited to present “Be Like a Goldfish: Don’t Memorize!” led by @ahans30 at NeurIPS, East Building #4709. In this work, we propose a simple yet effective loss function to reduce verbatim memorization. Stop by the poster and grab some goldfish crackers while you’re at it!
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OLCF
OLCF@OLCFGOV·
🏆 Researchers from the @UofMaryland received the HPC Innovation Excellence Award from @Hyperion_HPC for their work on AxoNN—a scalable framework that’s pushing the limits of Large Language Model (LLM) training! 🚀 💫 bit.ly/3CsmjKM 🏆 bit.ly/3V9HFTw
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Parallel Software and Systems Group
We had a lot of fun presenting a tutorial on Distributed Deep Learning on GPGPU clusters at #SC24. We still have more t-shirts and stickers, come to one of our talks or to the UMD booth. #HPC # AI
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