33 citations · 37 across the 10 of their papers we have counts for
12 papers
RAPID: Row-Parallel Arithmetic Processing in DRAM
William C. Tegge, João Paulo Cardoso de Lima, Shouzhi Fang +2
Processing-using-memory (PUM) architectures perform computation directly within DRAM to reduce costly data movement between memory and processors. Because charge-sharing operations…
YAVIN: A Unified Architecture for Secure Edge Processing in Memory
Shouzhi Fang, William C. Tegge, Md Omar Faruque +3
Secure, private multi-tenant execution spanning processors, memory, and accelerators remains one of the most significant challenges in modern edge computing systems. Simultaneously…
AgileOS: A GPU Operating System Layer for Protected CUDA Services
Zhuoping Yang, Yiyu Shi, Alex Jones +1
Modern GPU applications increasingly interact with storage systems, network devices, vendor libraries, and GPU-resident services rather than executing only isolated compute kernels…
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…
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…
Towards Error Correction for Computing in Racetrack Memory
Preston Brazzle, Benjamin F. Morris, Evan McKinney +4
Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck and accelerate data-intensive applications. Depending on the underlying technology and configuration, CIM…
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…
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration
Jinming Zhuang, Zhuoping Yang, Shixin Ji +5
With the increase in the computation intensity of the chip, the mismatch between computation layer shapes and the available computation resource significantly limits the utilizatio…
EdgeOL: Efficient in-situ Online Learning on Edge Devices
Sheng Li, Geng Yuan, Yue Dai +10
Emerging applications, such as robot-assisted eldercare and object recognition, generally employ deep learning neural networks (DNNs) and naturally require: i) handling streaming-i…
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…
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…
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP
Zhuoping Yang, Jinming Zhuang, Jiaqi Yin +3
Arbitrary-precision integer multiplication is the core kernel of many applications in simulation, cryptography, etc. Existing acceleration of arbitrary-precision integer multiplica…