Zhiru Zhang

Associate Professor

Cornell University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Zhiru Zhang is an Associate Professor at Cornell University in the United States. His research focuses on compiler frameworks, sparse linear algebra acceleration, and FPGA-based spatial acceleration for large language models. Recent publications include topics such as bit-serial processing-in-memory architectures and programming models for accelerator design.

Articles (15)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

UNITED STATES

View details

Jinjun Xiong

Professor

University at Buffalo

UNITED STATES

View details

Edward Suh

UNITED STATES

View details

Injune Yeo

Assistant Professor

Chosun University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zhiru Zhang

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

PIMsynth: A Unified Compiler Framework for Bit-Serial Processing-in-Memory Architectures

Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns

Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference

Pangenome graph layout by Path-Guided Stochastic Gradient Descent

Allo: A Programming Model for Composable Accelerator Design

UniSparse: An Intermediate Language for General Sparse Format Customization

Supporting a Virtual Vector Instruction Set on a Commercial Compute-in-SRAM Accelerator

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

An Intermediate Language for General Sparse Format Customization

FPGA HLS Today: Successes, Challenges, and Opportunities

Reverse-Engineering CNN Models Using Side-Channel Attacks

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

Guest Editors' Introduction: Machine Intelligence at the Edge

Introduction of Special Issue on FPGA-Based Computing [From the Guest Editors]

Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs

Collaborators (8)

Andrea Guarracino

Kevin Skadron

Pjotr Prins

Jason Lau

Jason Cong

Jinjun Xiong

Edward Suh

Injune Yeo

Make your next move.