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site title: Dan Fu - UCSD

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dan, fu, about, me, latest, news, all, publications, open, source, artifacts, teaching,

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the (7), kernels (5), and (5), research (4), how (3), lab (3), efficient (3), hardware (3), together (3), team (3), stanford (2), mlsys (2), website (2), sandyresearch (2), models (2), scale (2), hungry (2), architectures (2), systems (2), algorithms (2), for (2), modern (2), interests (2), assistant (2), professor (2), ucsd (2), with (2), building (2), world (2), class (2), engineering (2), machine (2), learning (2), university (2), department (2), computer (2), science (2), dan (2), teaching, open, source, artifacts, all, publications, latest, news, youtube, started, during, pandemic, seminar, coffee, experiment, structure, introductions, papers, opinionated, perspective, paths, agi, some, links, change, better, along, sequence, length, monarch, mixer, hippos, chipmunk, parcae, can, build, best, primitives, like, attention, flashfftconv, flashattention, thundermla, thunderkittens, aware, selected, leading, affiliated, also, where, thrilled, focused, low, level, performance, gpu, focuses, making, faster, more, especially, designing, that, well, group, please, reach, out, you, interested, joining, about, mail, github, linkedin, twitter, previously, phd, focus, efficiency, california, san, diego,


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dan fu ucsd dan fu assistant professor computer science and engineering department university of california san diego vp of kernels together ai previously phd department of computer science stanford university research interests machine learning and systems with a focus on efficiency lab website twitter linkedin github e mail about me i m building a world class kernels team at together ai please reach out if you re interested in joining the team i m an assistant professor at ucsd leading the sandyresearch lab and affiliated with the mlsys group i m also vp of kernels at together ai where i m thrilled to be building a world class team focused on low level performance engineering and gpu kernels my research focuses on making machine learning models faster and more efficient especially by designing efficient ml architectures that scale well on modern hardware selected research interests hardware aware algorithms for ml how can we build the best systems kernels algorithms for ml primitives like attention on modern hardware thunderkittens thundermla flashattention flashfftconv efficient ml architectures how do we change ml models to scale better along e g sequence length parcae chipmunk hungry hungry hippos monarch mixer some links an opinionated perspective on the paths to agi my lab website sandyresearch how i structure introductions to research papers the coffee experiment stanford mlsys seminar on youtube we started during the pandemic latest news all publications open source artifacts teaching
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