Over the past decade, a massive proliferation of machine learning algorithms has emerged,
from applications for surveillance to self-driving cars. The turning point occurred with the …

Field-programmable gate arrays (FPGAs) have recently evolved as a valuable component of
the heterogeneous computing. The register transfer level (RTL) design flows demand the …

Sparse Matrix-Vector Multiplication (SpMV) is one of the vital computational primitives used
in modern workloads. SpMV performs memory access, leading to unnecessary data …

Two main design methods are currently widely adopted in dealing with complex signal
processing algorithms. The first method is based on low‐level synthesis (LLS), which …

Sparse Matrix Vector Multiplication (SpMV) is a key kernel in various domains, that is known
to be difficult to parallelize efficiently due to the low spatial locality of data. This is …

This paper proposes a formulation of quaternion-based Extended Kalman Filter pose
estimation for six degrees of freedom systems embedded in an FPGA with commercial …

High-Level Synthesis (HLS) tools have the capability of creating register-transfer level from
high-level specifications by not degrading the performance. OpenCL framework uses HLS …