5 citations · 7 across the 6 of their papers we have counts for
7 papers
Herschel: Continuous Optimization of Production LLM Inference through On-Demand Profiling
Luping Wang, Weigao Chen, Yifei Wu +11
Model-as-a-service platforms call for continuous optimization as complex serving conditions expose inefficiencies missed before deployment. Detailed always-on profiling can incur s…
VIPER: Architecture-Aware Performance Modeling for Processing-in-Memory Design-Space Exploration
Haoran Geng, Tomas Sousa Pereira, Xiaoyang Lu +3
Processing-in-Memory (PIM) promises to reduce data movement overhead by executing computation in or near memory, but its realized application speedup remains highly design-dependen…
Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM
Ahmed Mamdouh, Haoran Geng, Michael Niemier +2
Processing-in-Memory (PIM) enhances memory with computational capabilities, potentially solving energy and latency issues associated with data transfer between memory and processor…
Secure Scattered Memory: Rethinking Secure Enclave Memory with Secret Sharing
Haoran Geng, Yuezhi Che, Dazhao Chen +2
The rise of cloud computing demands secure memory systems that ensure data confidentiality, integrity, and freshness against replay attacks. Existing schemes such as AES-XTS, AES-G…
Privacy Preserving In-memory Computing Engine
Haoran Geng, Jianqiao Mo, Dayane Reis +5
Privacy has rapidly become a major concern/design consideration. Homomorphic Encryption (HE) and Garbled Circuits (GC) are privacy-preserving techniques that support computations o…
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory
Mengyuan Li, Haoran Geng, Michael Niemier +1
Lattice-based cryptographic algorithms built on ring learning with error theory are gaining importance due to their potential for providing post-quantum security. However, these al…
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption
Dayane Reis, Haoran Geng, Michael Niemier +1
This paper proposes IMCRYPTO, an in-memory computing (IMC) fabric for accelerating AES encryption and decryption. IMCRYPTO employs a unified structure to implement encryption and d…