Xulong Tang

Welcome! I am an assistant professor in the Department of Computer Science at the University of Pittsburgh. I received my Ph.D. from Penn State, where I worked with my advisors Dr. Mahmut T. Kandemir and Dr. Chita R. Das on high-performance computing and advanced computer architectures. I received my M.S. in School of Computer Science and Technology, University of Science and Technology of China. Before M.S., I received my B.S. in Computer Science and Technology, Harbin Institute of Technology, China. Contact: 210 S. Bouquet Street, SENSQ 6115. Department of Computer Science, University of Pittsburgh, Pittsburgh, PA, 15213 Email: tax6 AT pitt DOT edu Curriculum Vitae Google Scholar DBLP LinkedIn

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Fall 2024: I am looking for one or two Ph.D. students to join my research group in Fall 2024. If you are interested, please drop me a brief email with your CV.

Activities

• 10/2023. One paper accepted HPCA 2024.

• 09/2023. One paper accepted ICCD 2023.

• 08/2023. NSF funding received on efficient online learning. Thanks to NSF!

• 07/2023. Two papers accepted MICRO 2023.

• 02/2023. Three papers accepted DAC 2023.

• 01/2023. One paper accepted as Spotlight at ICLR 2023.

• 10/2022. Three papers accepted HPCA 2023.

Current Students

• Bingyao Li, (Ph.D. candidate)

• Sheng Li, (Ph.D. candidate)

• Yue Dai, (Ph.D. candidate, co-advise with Dr.Youtao Zhang)

• Mehrnoosh Raoufi, (Ph.D. candidate, co-advise with Dr.Youtao Zhang)

• Yueqi Wang, (Ph.D. candidate)

• Tianyu Wang, (Ph.D. candidate)

• Yingheng Li, (Ph.D. candidate)

• Zewei Mo, (Ph.D. candidate, co-advise with Dr.Youtao Zhang)

Research Funding

• NSF CNS CSR Award. PI. Thanks to NSF!

• NSF CCF SHF Award. PI. Thanks to NSF!

• NSF FoMR Award. Co-PI. Thanks to NSF and Intel!

Selected Publications (full list)

• (HPCA 2024) GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement (To appear).

• (MICRO 2023) IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations (To appear).

• (MICRO 2023) SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices (To appear).

• (DAC 2023) Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors.

• (DAC 2023) Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs.

• (DAC 2023) EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory.

• (ICLR 2023 Spotlight) SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing.

• (HPCA 2023) Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding.

• (HPCA 2023) CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks.

• (HPCA 2023) AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM.

• (NeurIPS 2022) Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.

• (ECCV 2022) You Already Have It: A Generator-Free Low-Precision DNN Training Framework using Stochastic Rounding.

• (HPCA 2022) Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs.

• (MICRO 2021) Improving Address Translation in Multi-GPUs via Sharing and Spilling Aware TLB Design.

• (SIGMETRICS 2021) Mix and Match: Reorganizing Tasks for Enhancing Data Locality.

• (PLDI 2021) Fluid: A Framework for Approximate Concurrency via Controlled Dependency Relaxation.

• (PLDI 2021) Distance-in-Time versus Distance-in-Space.

• (AAAI 2021) YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

• (PPoPP 2021) Compiler Support for Near Data Computing .

• (ISCA 2019) Opportunistic Computing in GPU Architectures.

• (PLDI 2019) Co-Optimizing Memory-Level Parallelism and Cache-Level Parallelism.

• (SIGMETRICS 2019) Architecture-Aware Approximate Computing.

• (SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs.

• (SIGMETRICS 2019) Computing with Near Data.

• (PLDI 2018) Enhancing Computation-to-Core Assignment with Physical Location Information.

• (MICRO 2017) Data Movement Aware Computation Partitioning.

• (HPCA 2017) Controlled Kernel Launch for Dynamic Parallelism in GPUs.

• (MICRO 2016) Improving Bank-Level Parallelism for Irregular Applications.

• (PLDI 2015) Optimizing Off-Chip Accesses in Manycores.

• (SIGMETRICS 2015) Memory Row Reuse Distance and its Role in Optimizing Application Performance.

Teaching

• CS 2410 Computer Architecture, Spring 2023

• CS 3410 Advanced Topics Computer Architecture, Fall 2022

• CS 2410 Computer Architecture, Spring 2022

• CS 2410 Computer Architecture, Spring 2021

• CS 1541 Introduction to Computer Architecture, Spring 2021

• CS 2210 Compiler design, Spring 2020

Prior Students

• Zhongxuan Song (Master)

• Weizheng Xu (Master)

• Zachary Michael Smith (Master)

• Thomas Matthew Dicarlo (Master)

• Antony Paul (Master)

• Yuan Yao (Master, Next move: Bloomberg LP)

• Ziyu Zhang (Master, Next move: Apple)

• Yilun Zhao (Ph.D. candidate, Next move: Ph.D.@ICT-CAS)

• Qi Xue (Undergrad, Next move: MS at UPenn)

Updated 10/2023