3 citations · 5 across the 3 of their papers we have counts for
3 papers
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs
Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer +2
FPGAs are a promising platform for accelerating Deep Learning (DL) applications, due to their high performance, low power consumption, and reconfigurability. Recently, the leading…
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms
Erika S. Alcorta, Mahesh Madhav, Scott Tetrick +2
Modern computer designs support composite prefetching, where multiple individual prefetcher components are used to target different memory access patterns. However, multiple prefet…
Real-Time Rate-Distortion Optimized Streaming of Wireless Video
Ahmed Abdelhadi, Andreas Gerstlauer, Sriram Vishwanath
Mobile cyberphysical systems have received considerable attention over the last decade, as communication, computing and control come together on a common platform. Understanding th…