Design Space exploration of FPGA-based accelerators with multi-level parallelism
暂无分享,去创建一个
Yun Liang | Tulika Mitra | Alok Prakash | Smaïl Niar | Siqi Wang | Guanwen Zhong | T. Mitra | Yun Liang | S. Niar | G. Zhong | Alok Prakash | Siqi Wang | A. Prakash
[1] Yun Liang,et al. Design space exploration of multiple loops on FPGAs using high level synthesis , 2014, 2014 IEEE 32nd International Conference on Computer Design (ICCD).
[2] Xitong Gao,et al. Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis , 2016, FPGA.
[3] Yun Liang,et al. Lin-Analyzer: A high-level performance analysis tool for FPGA-based accelerators , 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).
[4] Kunle Olukotun,et al. Automatic Generation of Efficient Accelerators for Reconfigurable Hardware , 2016, 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).
[5] Vikram S. Adve,et al. LLVM: a compilation framework for lifelong program analysis & transformation , 2004, International Symposium on Code Generation and Optimization, 2004. CGO 2004..
[6] Uday Bondhugula,et al. A practical automatic polyhedral parallelizer and locality optimizer , 2008, PLDI '08.
[7] Wei Zhang,et al. A performance analysis framework for optimizing OpenCL applications on FPGAs , 2016, 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA).
[8] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[9] Todd M. Austin,et al. Dynamic dependency analysis of ordinary programs , 1992, ISCA '92.
[10] F. H. Mcmahon,et al. The Livermore Fortran Kernels: A Computer Test of the Numerical Performance Range , 1986 .
[12] Jason Cong,et al. Resource-Aware Throughput Optimization for High-Level Synthesis , 2015, FPGA.
[13] Vlad Mihai Sima,et al. Quipu: A Statistical Model for Predicting Hardware Resources , 2013, TRETS.
[14] Jason Cong,et al. Multilevel Granularity Parallelism Synthesis on FPGAs , 2011, 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines.