Top Tweets for #ASPLOS23
🏆 We are also excited to share that VRG researchers Alex Conway, Rob Johnson and their co-authors won a Distinguished Paper Award at #ASPLOS23 for their paper "Mosaic Pages: Big TLB Reach with Small Pages." Congratulations! https://t.co/IfytapwCOK
🎉Congratulations to VMware Research Group's Nadav Amit and co-authors David Hildenbrand and Martin Schulz for winning a Distinguished Artifact Award at #ASPLOS23 for their paper "Copy-on-Pin: The Missing Piece for Correct Copy-on-Write." Great work! https://t.co/yqFQ1kRiBh
🧵#PurdueCS papers at #ASPLOS23
Congrats to our faculty and grad students with 6 papers at @ASPLOSConf. ⬇️
Happy to share that our “Hacky Racers: Exploiting Instruction-Level Parallelism to Generate Stealthy Fine-Grained Timers” won the distinguished paper award in #asplos23!
Congrats to all the @ASPLOSConf award winners! 🏆Hope everyone enjoys the final day of the conference!
https://t.co/sd0dPQ3ZaU
Congratulations to the team of @bfalsafi on receiving "Most influential paper" award for their 2012 paper on Scale-out Workloads, at #ASPLOS23, Vancouver
https://t.co/kqehmAvFOe
@parsa_epfl
🏆 NNSmith just won the Distinguished Artifact Award at #ASPLOS23!
NNSmith has found various bugs for popular deep learning systems (ONNXRuntime, PyTorch, TensorFlow, TensorRT, TVM, and more!).
Try our tool if you're interested in MLSys reliability:
https://t.co/ik4d1o5eW0
Today we will present our new work "NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers" @ASPLOSConf at Session 2A (1pm PT). Welcome to join our talk to learn how we build an automated tool for finding 70+ bugs (and more now!) for emerging DL compilers!

#ASPLOS23 at Vancouver.
First ever conference experience✅

If you want to know more about TeraHeap, join me in the poster session at @ASPLOSConf !
Paper: https://t.co/cRoSmreZkU
Github: https://t.co/IMH9WIB698
#asplos23 #jvm #bigdata #analytics #ssDiski

Excited to share #ASPLOS23 paper, "TensorIR: An Abstraction for Automatic Tensorized Program Optimization". This is an exciting step to bring @ApacheTVM to next level and enable more accessible ML compilation. It also powers fun stuffs like Web Stable Diffusion. a thread🧵
Excited to share our #ASPLOS23 paper. “TensorIR: An Abstraction for Automatic Tensorized Program Optimization”. Come to our talk in Section 5C at Grand D! TensorIR lies at the core of the next-level generation of the TVM compiler @ApacheTVM, from @SCSatCMU @OctoML.

Check our #ASPLOS23 presentation tomorrow at 11 in session 4C at Grand D! We’ll be discussing our paper “SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning” - a compiler for sparse DL workloads built on @ApacheTVM (1/2)

Excited to share our #ASPLOS23 paper. “TensorIR: An Abstraction for Automatic Tensorized Program Optimization”. Come to our talk in Section 5C at Grand D! TensorIR lies at the core of the next-level generation of the TVM compiler @ApacheTVM, from @SCSatCMU @OctoML.

In case you missed our tutorial at #ASPLOS23, you can watch it online. Thanks to all our speakers for their insightful talks & all our participants for joining us in person and online!
Tutorial recording on YouTube: https://t.co/cWCoNW5kHv
@_onurmutlu_ @el1goluj @ASPLOSConf


Congratulations to all the young architects who had their submissions accepted to #yarch2023! This year we have 23 accepted papers. If you are attending #asplos23, please swing by the #yarch2023 workshop on Sunday (March 26th).
Join us for our tutorial at #ASPLOS23 in Vancouver (+ online)! Invited talks from Alexandra Fedorova @UBC and Yongkee Kwon & Chanwook Park @SKhynixGlobal.
Abstracts: https://t.co/OiC21mJepy
Livestream March 26 9AM PDT: https://t.co/cWCoNW5kHv
@_onurmutlu_ @el1goluj @ASPLOSConf

Join us for our upcoming tutorial at #ASPLOS23 in Vancouver on Real-world PIM Architectures. Everyone is welcome to join live online!
Livestream PIM Tutorial, March 26 9AM PDT: https://t.co/Ri0N6TjvY5
Program: https://t.co/PRKERFvDUY
@_onurmutlu_ @el1goluj @ASPLOSConf
Filming my promo video for our @ASPLOSConf paper, TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks!
I would like to thank especially @sealnikol and Dimos Panagopoulos for their help!
#carv #icsforth #asplos23 @ICS_FORTH

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