Demystifying Intel Data Streaming Accelerator for In-Memory Data Processing

In-memory data processing is the state-of-the-art approach for large-scale data analytics. For a more efficient processing and to be able to store more data in main memory, new hardware developments for memory such as Compute Express Link (CXL) and High-Bandwidth Memory (HBM) are of great interest. However, these developments also heterogenize the memory hierarchy, increasing the importance of efficient data transfers between different memory types and locations.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1145/3698783.3699383
Citations
6
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
2.93
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article

Demystifying Intel Data Streaming Accelerator for In-Memory Data Processing

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6 citations
Parallel Computing and Optimization Techniques
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article

Demystifying Intel Data Streaming Accelerator for In-Memory Data Processing

Horst Schirmeier, Lennart Schmidt, André Berthold, Dirk Habich, Wolfgang Lehner, Constantin Fürst, Antonia Obersteiner
article en
6 citations

Abstract

In-memory data processing is the state-of-the-art approach for large-scale data analytics. For a more efficient processing and to be able to store more data in main memory, new hardware developments for memory such as Compute Express Link (CXL) and High-Bandwidth Memory (HBM) are of great interest. However, these developments also heterogenize the memory hierarchy, increasing the importance of efficient data transfers between different memory types and locations.

Technische Universität Dresden (DE)
Affordable and clean energy
Openalex Percentile: Top 7%
Parallel Computing and Optimization Techniques
2.93
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