Eriko Nurvitadhi
Bellevue College(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Embedded Systems Design Techniques, Advanced Memory and Neural Computing, Interconnection Networks and Systems
Most-Cited Works
- → Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?(2017)448 cited
- → Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC(2016)337 cited
- → WRPN: Wide Reduced-Precision Networks(2017)181 cited
- → Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC(2016)173 cited
- → Accelerating Deep Convolutional Networks using low-precision and sparsity(2017)114 cited
- → ProtoFlex(2009)88 cited
- → A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform(2018)82 cited
- → GraphGen: An FPGA Framework for Vertex-Centric Graph Computation(2014)75 cited
- → High performance binary neural networks on the Xeon+FPGA™ platform(2017)74 cited
- → Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs(2020)72 cited