I am a 5th year PhD student working under the advising of Daniel Jimenez at Texas A&M University. My work focuses on learning techniques for various forms of front-end prediction. In particular, I've looked at smarter prediction for branching, caching, and prefetching. I'm also interested in computer science education, and how to help more BIPOC not just enter, but succeed in this field.
June 13, 2021: I am proud to be attending and participating in CMD-IT's 2021 Academic Careers Workshop.
March 4, 2021: I am honored to receive the Texas A&M Computer Science Department Graduate Leadership Excellence Award!
February 11, 2021: I participated in a Columbia University Alumni panel for their inaugural Diversity, Equity, and Inclusion Career Week. The topic was on the challenges of being a student with a first-generation/low-income background.
February 6, 2021: I am part of the inaugural cohort of fellows for the Cultural Competence in Computing (3C) Fellows Program.
December 16, 2021: I will be volunteering with the reproducibility initiative for artifaction evaluation at ASPLOS 2021.
October 17, 2020: CASA, a student support group initiative (founded by myself and others) for students in computer architecture, is live!
October 8, 2020: I have been invited to join this year's cohort for the Rising Stars 2020 program!
July 7, 2020: We have two papers accepted to MICRO 2020! Information on them can be found in the Publications section.
I have had the pleasure of being a graduate lecturer for the Computer Science & Engineering department of Texas A&M University. My goal after my PhD is to receive a teaching-focused professorship position at the university level. You can find my current and previous class website(s) below:
I am fortunate enough to have published the following works:
Samira Mirbagher-Ajorpaz, Elba Garza, Gilles A. Pokam, and Daniel A. Jimenez “CHiRP: Control-Flow History Reuse Prediction”, The International Symposium on Microarchitecture (MICRO 2020), October 2020 [PDF] [PPT Presentation Slides] [Lightning Talk] [Talk]
Samira Mirbagher-Ajorpaz, Gilles A. Pokam, Esmaeil Koruyeh, Elba Garza, Nael Abu-Ghazaleh, and Daniel A. Jimenez “PerSpectron: Detecting Microarchitectural Footprints of Side Channel Attacks with Perceptron Learning”, The International Symposium on Microarchitecture (MICRO 2020), October 2020 [PDF]
Elba Garza, Samira Mirbagher-Ajorpaz, Tahsin Khan, and Daniel A. Jimenez “BLBP: Bit-Level Perceptron Prediction for Indirect Branch Prediction”, The International Symposium on Computer Architecture (ISCA 2019), June 2019 [PDF] [PPT Presentation Slides] [Lightning Talk]
Samira Mirbagher-Ajorpaz, Elba Garza, Sangam Jindal, and Daniel A. Jimenez “Exploring Predictive Replacement Policies for Instruction Cache and Branch Target Buffer”, The International Symposium on Computer Architecture (ISCA 2018), June 2018 [PDF]
Wenhao Jia, Elba Garza, Kelly A. Shaw, and Margaret Martonosi “GPU Performance and Power Tuning Using Regression Trees”, ACM Transactions on Architecture and Code Optimization (TACO), May 2015 [PDF]