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20232026
most citedChallenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets

6 citations · 7 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AR2026

μ-ORCA: Optimizing Acceleration for Microsecond-Scale Deep Neural Network Inference on ACAP

Shixin Ji, Jinming Zhuang, Zhuoping Yang +3

Heterogeneous reconfigurable platforms with tensor cores, such as AMD ACAP, are increasingly adopted for deep neural network (DNN) inference due to their high throughput and flexib…

cs.AR2026

DORA: Dataflow-Instruction Orchestration Architecture for DNN Acceleration

Xingzhen Chen, Zhuoping Yang, Jinming Zhuang +5

As deep neural networks develop significantly more diverse and complex, achieving high performance and efficiency on complicated DNN models faces pressing challenges. Modern DNN wo…

cs.AR2026

To Overlay or to Customize? Revisiting Architectural Choices in Heterogeneous Systems

Xingzhen Chen, Shixin Ji, Zheng Dong +1

In this work, we present a systematic study of this trade-off from a deployment-centric perspective, focusing on an autonomous driving scenario. Instead of treating overlay and cus…

cs.AR2026

FILCO: Flexible Composing Architecture with Real-Time Reconfigurability for DNN Acceleration

Xingzhen Chen, Jinming Zhuang, Zhuoping Yang +5

With the development of deep neural network (DNN) enabled applications, achieving high hardware resource efficiency on diverse workloads is non-trivial in heterogeneous computing p…

cs.AR2026

PHAROS: Pipelined Heterogeneous Accelerators for Real-time Safety-critical Systems With Deadline Compliance

Shixin Ji, Jinming Zhuang, Sarah Schultz +6

Spatially partitioned heterogeneous accelerators (HAs) are increasingly adopted in embedded systems for their performance and flexibility. Yet most existing HA design frameworks op…

cs.DC2025

AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration

Zhuoping Yang, Jinming Zhuang, Xingzhen Chen +2

GPUs are critical for compute-intensive applications, yet emerging workloads such as recommender systems, graph analytics, and data analytics often exceed GPU memory capacity. Exis…

cs.DC2024

Advancing Environmental Sustainability in Data Centers via Carbon Depreciation Models

Shixin Ji, Zhuoping Yang, Xingzhen Chen +2

Recent improvements in energy efficiency and renewable energy integration have increased the relative importance of embodied carbon in data centers, motivating improved provisionin…

cs.DC2024

SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators

Shixin Ji, Zhuoping Yang, Xingzhen Chen +5

Embodied carbon has been widely reported as a significant component in the full system lifecycle of various computing systems' green house gas emissions. Many efforts have been und…

cs.AR2023★ 1 cited

REFRESH FPGAs: Sustainable FPGA Chiplet Architectures

Peipei Zhou, Jinming Zhuang, Stephen Cahoon +6

There is a growing call for greater amounts of increasingly agile computational power for edge and cloud infrastructure to serve the computationally complex needs of ubiquitous com…

cs.AR2023★ 6 cited

Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets

Zhuoping Yang, Shixin Ji, Xingzhen Chen +4

Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous c…