Despite an increasing adoption of high-level synthesis (HLS) for its design productivity
advantages, there remains a significant gap in the achievable clock frequency between an …

With the recent release of High Bandwidth Memory (HBM) based FPGA boards, developers
can now exploit unprecedented external memory bandwidth. This allows more memory …

FPGAs require a much longer compilation cycle than conventional computing platforms like
CPUs. In this paper, we shorten the overall compilation time by co-optimizing the HLS …

FPGAs have been proven to be powerful computational accelerators across many types of
workloads. The mainstream programming approach is high level synthesis (HLS), which …

Sparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for a wide range of
applications including scientific computing, graph processing, and deep learning …

Democratizing Domain-Specific Computing Page 1 GENERAL-PURPOSE COMPUTERS
ARE widely used in our modern society. There were close to 24 million software …

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

Large-scale sorting is always an important yet demanding task for data center applications.
In addition to powerful processing capability, high-performance sorting system requires …

Metagenomics, the study of the genome sequences of diverse organisms in a common
environment, has led to significant advances in many fields. Since the species present in a …

Sorting data is needed in many application domains. Traditionally, the data is read from
memory and sent to a general-purpose processor or application-specific hardware for …