Controlled Kernel Launch for Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Huaipan Jiang; Onur Kayiran; Adwait Jog; Sreepathi Pai; Mohamed Assem Ibrahim; Mahmut T. Kandemir; Chita R. Das (HPCA, 2017)

Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management. - Haonan Wang; Fan Luo; Mohamed Assem Ibrahim; Onur Kayiran; Adwait Jog (HPCA, 2018)

Architectural Support for Efficient Large-Scale Automata Processing. - Hongyuan Liu 002; Mohamed Assem Ibrahim; Onur Kayiran; Sreepathi Pai; Adwait Jog (MICRO, 2018)

Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs. - Mohamed Assem Ibrahim; Hongyuan Liu 002; Onur Kayiran; Adwait Jog (PACT, 2019)

Address-stride assisted approximate load value prediction in GPUs. - Haonan Wang; Mohamed Assem Ibrahim; Sparsh Mittal; Adwait Jog (ICS, 2019)

Analyzing and Leveraging Shared L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (PACT, 2020)

Analyzing and Leveraging Decoupled L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (HPCA, 2021)

Efficient Cache Utilization via Model-aware Data Placement for Recommendation Models. - Mohamed Assem Ibrahim; Onur Kayiran; Shaizeen Aga (MEMSYS, 2021)

Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures. - Mohamed Assem Ibrahim; Shaizeen Aga (CoRR, 2023)

Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures. - Johnathan Alsop; Shaizeen Aga; Mohamed Assem Ibrahim; Mahzabeen Islam; Andrew McCrabb; Nuwan Jayasena (CoRR, 2023)

Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (CoRR, 2023)

PIM-Potential: Broadening the Acceleration Reach of PIM Architectures. - Johnathan Alsop; Shaizeen Aga; Mohamed Assem Ibrahim; Mahzabeen Islam; Nuwan Jayasena; Andrew McCrabb (MEMSYS, 2024)

Pimacolaba: Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures. - Mohamed Assem Ibrahim; Shaizeen Aga (MEMSYS, 2024)

JIT-Q: Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. - Mohamed Assem Ibrahim; Shaizeen Aga; Ada Li; Suchita Pati; Mahzabeen Islam (MLSys, 2024)

PIMnast: Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. - Mohamed Assem Ibrahim; Mahzabeen Islam; Shaizeen Aga (SC Workshops, 2024)

Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. - Mohamed Assem Ibrahim; Mahzabeen Islam; Shaizeen Aga (CoRR, 2024)

Methodology for Fine-Grain GPU Power Visibility and Insights. - Varsha Singhania; Shaizeen Aga; Mohamed Assem Ibrahim (CoRR, 2024)

FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights. - Varsha Singhania; Shaizeen Aga; Mohamed Assem Ibrahim (ISPASS, 2025)