2020

  • [C64] L. Guo, J. Lau, Y. Chi, J. Wang, C. Yu, Z. Chen, Z. Zhang, and J. Cong, Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency, to appear in Design Automation Conference (DAC), Jul. 2020.
  • [C63] R. Nigam, S. Atapattu, S. Thomas, Z. Li, T. Bauer, Y. Ye, A. Koti, A. Sampson, and Z. Zhang, Predictable Design of FPGA Accelerators using Time-Sensitive Affine Types, to appear in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Jun. 2020.
  • [C62] C. Deng, Z. Zhao, Y. Wang, Z. Zhang, and Z. Feng, GraphZoom: A Multi-Level Spectral Approach for Accurate and Scalable Graph Embedding, to appear in International Conference on Learning Representations (ICLR), Apr. 2020. (Oral)
  • [C61] Y. Zhang, R. Zhao, W. Hua, N. Xu, G. E. Suh, and Z. Zhang, Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations, to appear in International Conference on Learning Representations (ICLR), Apr. 2020.
  • [C60] N. Srivastava, H. Jin, S. Smith, H. Rong, D. Albonesi, and Z. Zhang, Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations, International Symposium on High-Performance Computer Architecture (HPCA), Feb. 2020.

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