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