Graph processing is typically memory bound due to low compute to memory access ratio
and irregular data access pattern. The emerging high-bandwidth memory (HBM) delivers …

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce
the memory bandwidth bottleneck encountered in some applications and to give the FPGA …

Benefiting from the fine-grained parallelism and energy efficiency, heterogeneous
computing platforms featuring FP-GAs are becoming more and more common in data …

FPGA-based data processing in datacenters is increasing in popularity due to the demands
of modern workloads and the resulting need for specialization in hardware. Driven by this …

FPGAs are starting to incorporate High Bandwidth Memory (HBM) to both reduce the
memory bandwidth bottleneck encountered in some applications and to provide more …

Field Programmable Gate Arrays (FPGAs) are increasingly being used in data centers and
the cloud due to their potential to accelerate certain workloads as well as for their …

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce
the memory bandwidth bottleneck encountered in some applications and to give the FPGA …

Full-text search has a wide range of applications, including tracking systems, computer
vision, and natural language processing. Standard methods usually implement a two-phase …

Parallel Architecture Exploration for Data-intensive Applications Page 1 Parallel Architecture
Exploration for Data-intensive Applications by Fernando Martin del Campo Ramirez A thesis …

The work presented in this thesis focuses on the exploration of alternative architectures and
computer paradigms for data-intensive applications. Our goal is to design and build a …