News

  • I will serve on the program committee for SBAC-PAD'22. Submit your best work to SBAC-PAD!

  • I will serve on the program committee for MICRO'22. Submit your best work to MICRO!

  • I will serve on the program committee for LCTES'22. Submit your best work to LCTES!

  • Prof. Murali Annavaram from USC will visit us to give a CITRIS-FIT talk about his recent work on privacy/security-aware ML training!

  • Prof. Xiaochen Guo from Lehigh University will give a talk about her recent work on secure and efficient memory systems!

  • Our work on model extraction attack is accepted for a presentation at an ASPLOS workshop, NOPE'22!

  • Dr. Gokul Subramanian Ravi from the University of Chicago will give a talk about quantum computing!

  • Prof. Xue Lin from Northeastern University gave a talk about her recent work on DNN security and optimization!

  • R1 Fellowship is available for a new PhD student who will join MoCA Lab in Fall 2022 . Thank you, UC Merced!!

  • Prof. Hoda Naghibijouybari from Binghampton University will give us a talk at UC Merced!

  • MoCA Lab received a new NSF fund for researching Robust GPU Computing for DNN! Thank you, NSF!!

  • Prof. Nima Karimian from SJSU will give us a talk at UC Merced!

  • I will serve on the program committee for ISQED'22. Submit your best work to ISQED!

  • I will serve on the program committee for ICCD'22.

  • I served as a mentor for uArch'21.

  • Yingshi, Aman, and Inderpreet joined MoCA lab as undergraduate summer researchers. Welcome!

  • Nigel successfully defended his MS thesis on energy efficient data center scheduling. Congrats!!

  • I will serve as an external reviewer for HPCA'22. Submit your best work to HPCA.

  • I will serve on the program committee for ICPP'21. Submit your best work to ICPP!

  • Prof. Daniel Wong from UC Riverside will give us a talk at UC Merced!

  • Rafi and Yuan will join MoCA lab in Fall 2021. Welcome!

  • I and Dr. Li received the Academic Senate Faculty Grant for efficient deep learning model training on heterogeneous memory architectures.

  • We are excited to be part of HPCSA. Check what we are doing in the systems and computer architecture research group at UC Merced!

  • I will serve on the program committee for APPT'21. Submit your best work to APPT.

  • I will serve on the program committee for DUAC'21. Submit your best work to DUAC.

  • I will serve as an external reviewer for MICRO'21. Submit your best work to MICRO.

  • Prof. Hung-Wei Tseng from UC Riverside will give us a talk at UC Merced!

  • Our WiP paper "A New Foe in GPUs: Power Side-Channel Attacks on Neural Network " is accepted in ISQED'21.

  • Our paper "Two-Stage Sequence Model for Maximum Throughput in Cluster Tools" is accepted in SAMI'21.

  • I will serve as an external reviewer for ISCA'21. Submit your best work to ISCA.

  • Our collaborative work "Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning" is accepted to HPCA'21.

  • I will serve for an IEEE standards working group for energy efficient communications hardware.

  • Our WiP paper "Enabling Edge-based Self-Navigation in Earthquake-Struck Zones" is accepted in ESWEEK CODES+ISSS'20.

  • I wil serve as a finance and student travel grant chair for CWWMCA'20. Consider attending and submitting posters to CWWMCA!

  • I will serve on the program committee of HPCA'21. Submit your best work to HPCA!

  • I will serve on the program committee of IISWC'20. Submit your best work to IISWC!

  • Shivam received Davison Scholar Award from CoE SJSU for his research about energy-efficient deep learning accelerator design. Congratulations!

  • I will serve on the program committee and as a student travel grant chair for PACT'20. Submit your best work to PACT'20!

  • I will serve as a session chair of WiE'20. Any underrepresented undergraduate students in the Engineering field are welcome!

  • Our paper "Locality-aware GPU Register File" is accepted in IEEE CAL.

  • I will serve on the program committee of GPGPU'20. Submit your best work to GPGPU'20!

  • Our paper "Going Deeper or Wider : Throughput Prediction for Cluster Tools with Machine Learning" is accepted in BDCAT'19.

  • I will serve on the program committee of ISQED'20. Submit your best work to ISQED'20!

  • I will serve on the program committee of ICPP'20. Submit your best work to ICPP'20!

  • I will serve as a finance and student grant chair for the Career Workshop for Women & Minorities in Computer Architecture (CWWMCA'19). Consider attending and submitting a poster to CWWMCA!

  • Our paper "Understanding of GPU Architectural Vulnerability for Deep Learning Workloads" is accepted in DFT'19.

  • Our paper "Detailed Characterization of Deep Neural Networks on GPUs and FPGAs" is accepted in GPGPU'19.

  • I gave a talk about "Architecture Study in Deep Learning Era" at the 3rd Annual Global Artificial Intelligence Conference.

  • Our paper "Tango: A Deep Neural Network Benchmark Suite for Various Accelerators" is accepted as a short paper with a poster presentation in ISPASS'19.

  • I will serve on the program committee of GPGPU'19.

  • I gave a talk about "Architecture Study in Deep Learning Era" at UC Merced.

  • Our paper "CORF: Coalescing Operand Register File for GPUs" is accepted to ASPLOS'19.

  • We are excited to release our DNN Benchmark Suite for GPU and FPGA which also runs with GPGPU-Sim! More details can be found in the Research tab.

  • We are thrilled to announce that THE Turing Lecture will be hosted in ISCA! Check the schedule here.

  • I will serve on the program committee of MICRO'18. Submit your best work to MICRO!

  • I am appointed as a corporate professor for the collaborative research with Lam Research in Spring 2018.

  • Our paper "CTA-Aware Prefetching and Scheduling for GPU" is accepted to IPDPS'18.

  • I will serve as a local arrangement chair for ISCA'18. See you in LA!

  • I will serve as a session chair for WiE'18 @ SJSU.

  • I will serve on the program committee of IPDPS'18. Submit your best work to IPDPS!

  • I served on an NSF panel in 2017.

  • I am thrilled being part of an exciting machine learning competition, IEEE Smart World NVIDIA AI City Challenge! Please join this great opportunity to compete with worldwide DNN experts. :-)

  • Our collaborative project with UCRiverside on energy-efficient data centers got awarded $2.0M grant from the California Energy Commission!

  • Sindhuja and Meera successfully defended their master thesis on Energy-efficient GPUs Design for CNN and Deep Packet Inspection Acceleration on GPUs! Congrats!

  • I will serve as a session chair for WiE'17 @ SJSU.

  • Sindhuja's thesis proposal is selected by The Davidson Student Scholars Award Spring 2017!

  • I received Kordestani Professor Award 2017 at SJSU for my on-going project, Energy-efficient Accelerators Design for CNN.

  • I will serve as a registration chair for BigDataService'17.

  • Our paper "Pilot Register File: Energy Efficient Register File for GPUs" is accepted to HPCA'17

  • I served on an NSF panel in 2016.

  • I will serve as a chair of GPU session in MICRO'16

  • Our paper "Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution" is accepted to IEEE Transactions on Computers

  • Urvashi will do an internship at the Advanced Processor Lab of Samsung Research America!

  • We got a generous donation (Jetson TX1 boards) from NVIDIA!

  • Our paper "Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming" is accepted to ISCA'16

  • I will serve as a session chair for WiE'16 @ SJSU

  • I will serve on the program committee for MICRO'16!

  • Our paper "GPGPU register file virtualization" was presented in MICRO'15