Tyler Sorensen
@Tyler_UCSC
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Visiting researcher at Microsoft Research and Assistant Professor at UC Santa Cruz in CS Interested in PL/compilers/security for GPUs and heterogeneous systems
Redmond, WA
Joined September 2019
It was really fun doing this work over the summer at ToB! A huge thanks for all of their support and everyone who engaged with us over the last few months. It's an exciting time for GPUs, and I hope that security and privacy can start to be a bigger focus!
Today, we are disclosing LeftoverLocals, a vulnerability that allows listening to LLM responses through leaked GPU local memory created by another process on Apple, Qualcomm, AMD, and Imagination GPUs (CVE-2023-4969) https://t.co/rIqfClarLJ
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The deadline for CGO's SRC has been extended to Dec. 15! It will be in Australia, so it would be awesome to go, but there's a virtual track, because travel can be tough these days. It's a great way to get some feedback and meet other compiler folks! https://t.co/QtPXkTtMFc
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Excited to be included on @TIME's list of the TIME100 AI of 2025! Grateful to the @AINowInstitute for supporting my work on addressing the safety revisionism of AI in defense and safety-critical contexts where safety has been obscured with little to no accountability. #TIME100AI
Introducing TIME100 AI: Leaders in artificial intelligence. See who made the list: https://t.co/mrmrRfVutO
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This year's PLDI student research competition was also a success, with several interesting projects presented by graduate and undergraduate students! Here are the three winners for each category (undergraduate and graduate) ⬇️
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Not sure who is still here, but check out this post about GPU memory models: including testing, specs, and a cool case study! Lots of great co-authors, especially @h_poncedeleon + team, who are doing some awesome work on GPU model checking. https://t.co/hIAzl7wRWM
sigarch.org
Context A recent MICRO 2024 article titled “Over-synchronization in GPU Programs” describes how eliminating redundant or coarser-grained (slower) synchronization in GPU programs can lead to signifi…
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I am looking to hire interns for fall with experience in Triton and familiarity with gpu architecture. If you are a PhD student with these skillsets please DM me, I will send further details. RTs are appreciated🙏
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I am looking to recruit a PhD student (fully funded at UK home tuition rate) to work on automated testing and verification of machine learning compilers and runtimes! Deadline: 30th April. Please spread the word! Details here:
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With Reshabh K Sharma, Peli de Halleux, and Shraddha Barke, we just released "PromptPex: Automatic Test Generation for Language Model Prompts"( https://t.co/h3RJ9YEGiT). Repo: https://t.co/tiCLgQBEAG. PromptPex is a tool to generate and evaluate unit tests for an AI model prompt.
github.com
Test Generation for Prompts. Contribute to microsoft/promptpex development by creating an account on GitHub.
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Join us on February 25 for a new episode of Microsoft Research Forum where we share the latest updates on multimodal generative AI for precision health, advances in drug discovery and agents, & delve into cutting-edge AI techniques for programming safety. https://t.co/zHzyNPGpcF
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We, RiSE/MSR, are hiring for exciting and ambitious projects. https://t.co/fKAc4ChNSx (on the picture: lunch with colleagues)
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I am looking for 1-2 PhD students interested broadly in computer systems, compilers, and/or PL! If you would like to do your PhD in a vibrant city with great weather, next to the sea 🌊, and the mountains 🏔️, make sure to apply to UCLA and mark my name as a potential advisor!
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Just in time for halloween! Check out the scary things that can happen w.r.t. memory consistency when you link two binaries that were compiled using different atomic memory mappings 😱😱😱😱😱 It was a really fun project to be a part of and Luke did a great job leading!
Lots of great engagement @splashcon after presenting our work on Mix Testing, thanks again to my co-authors Brotherston, Dijkstra, @afd_icl, Smith, @Tyler_UCSC, and @wicko3
https://t.co/RMCpcDNtnm Talk 2:50 in
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New paper with @sarahbmyers & @mer__edith. We challenge the narrative emphasising AI bioweapons risks, and bring attention to the covert proliferation of military intelligence, surveillance, targeting, and reconnaissance (ISTAR) already occurring via foundation models. 1/5
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Excited to announce that I’m now Chief AI Scientist at @AINowInstitute! Looking forward to sharing some upcoming work soon.
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This was a really fun project to be involved in! @LukeGeeson did a great job finding a problem that is technically very interesting (memory models 😱) and also has some immediate and big impact (a new ABI for Arm binaries). Check it out!
I'm pleased that our paper "Mix Testing: Specifying and Testing ABI Compatibility of C/C++ Atomics Implementations" will appear at OOPSLA2024 (@splashcon)! Big thanks to auths Brotherston, Dijkstra, @afd_icl, Smith, @Tyler_UCSC, and @wicko3. Paper here:
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Woohoo! @Cornell_CS PhD application deadline is December 15, 2024. I'm looking for students interested in high-performance parallel computing and systems for scientific discovery, to guide the design of the next generation of parallel computing systems and architectures! RT
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Tomorrow, @aypan_17 from @UCBerkeley will share with the @buZZrobot community about the WMDP Benchmark, a dataset designed to measure whether LLMs could help malicious actors develop bio, cyber, and chemical weapons, and the state-of-the-art unlearning method to reduce harmful
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Excited to finally share that I just started as a visiting researcher at Microsoft Research in the RiSE group! Looking forward to working on PL problems at such an impactful company at such an interesting time in tech! And I always love hacking on GPUs :)
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“Thinking time” is now a luxury, one we seldom have because we are burdened with service, unrealistic research expectations, among many other time-sinks. I do think the quality of our overall science is decreasing due to the pace at which we have to “produce” 😣
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I’ll be presenting my ML security work (@trailofbits) at @BSidesLV and @defcon! If you’re interested in attacks against ML systems, come learn all about incubated ML exploits.
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🎉Congratulations to our Computational & Data Science Fellowship recipients!🎉 Jessica Dagostini (PhD, Computer Science) from @ucsantacruz Amina Diop (PhD, Astronomy) from @UVA Well deserved and well earned!
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