activity
20192022
most citedQ-VR: System-Level Design for Future Mobile Collaborative Virtual Reality

36 citations · 74 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.DC20222 cited

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems

Jieyang Chen, Chenhao Xie, Jesun S Firoz +5

Sparse linear algebra kernels play a critical role in numerous applications, covering from exascale scientific simulation to large-scale data analytics. Offloading linear algebra k…

cs.DC2020

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures

Chenhao Xie, Jieyang Chen, Jesun S Firoz +5

Designing efficient and scalable sparse linear algebra kernels on modern multi-GPU based HPC systems is a daunting task due to significant irregular memory references and workload…

cs.DC20202 cited

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing

Cheng Tan, Chenhao Xie, Tong Geng +4

The next generation HPC and data centers are likely to be reconfigurable and data-centric due to the trend of hardware specialization and the emergence of data-driven applications.…

cs.DC202013 cited

OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems

Chenhao Xie, Xin Fu, Mingsong Chen +1

With the strong computation capability, NUMA-based multi-GPU system is a promising candidate to provide sustainable and scalable performance for Virtual Reality. However, the entir…

cs.DC20191 cited

Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design

Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie +3

In recent years, the CNNs have achieved great successes in the image processing tasks, e.g., image recognition and object detection. Unfortunately, traditional CNN's classification…