The von Neumann bottleneck is imposed due to the explosion of data transfers and
emerging data-intensive applications in heterogeneous system architectures. The …

As the size of data generated every day grows dramatically, the computational bottleneck of
computer systems has been shifted toward the storage devices. Thanks to recent …

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 …

As the size of data generated every day grows dramatically, the computational bottleneck of
computer systems has shifted toward storage devices. The interface between the storage …

Large-scale machine learning (ML) models rely on extremely large datasets to learn their
exponentially growing number of parameters. While these models achieve unprecedented …

Data providers are concerned about data privacy when a third party handles their data. A
typical example is cloud computing. In such cases, homomorphic encryption can be used to …

An accelerator is disclosed. The accelerator may include a memory that may store a
dictionary table. An address generator may be configured to generate an address in the …

Near storage computation has increasingly become a focus in improving the performance of
big data systems. Technological trends have moved the bottle neck of data intensive …

The exponential growth of the dataset size demanded by modern big data applications
requires innovative server architecture design for data centers. A server workload comprise …