Publications Partially Reconfigurable Platforms
Hardware Data Re-organization Engine for Real-Time Systems
WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022), 2022, Houston, TX, USA
Abstract
Access patterns and cache utilization play a key role in the analyzability of data-intensive applications. In this demo, we re-examine our previous research on software-hardware codesign to push data transformation closer to memory from a real-time perspective. Deployed in modern CPU+FPGA systems, our design enables efficient and cache-friendly access to large data by only moving relevant bytes from the target memory. This (1) compresses the cache footprint and (2) reorganizes complex memory access patterns into sequential and predictable patterns.
Cite this paper
@inproceedings{RT_DataReorg_WiP_RTSS22,
title = {{Hardware Data Re-organization Engine for Real-Time Systems}},
author = {Roozkhosh, Shahin and Hoornaert, Denis and Mancuso, Renato and Athanassoulis, Manos},
booktitle = {WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022)},
year = 2022,
address = {Houston, TX, USA},
url = {https://cs-people.bu.edu/rmancuso/files/papers/RT_RME_RTSS22.pdf}
}
TY - CONF AU - Roozkhosh, Shahin AU - Hoornaert, Denis AU - Mancuso, Renato AU - Athanassoulis, Manos TI - Hardware Data Re-organization Engine for Real-Time Systems T2 - WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022) PY - 2022 CY - Houston, TX, USA AB - Access patterns and cache utilization play a key role in the analyzability of data-intensive applications. In this demo, we re-examine our previous research on software-hardware codesign to push data transformation closer to memory from a real-time perspective. Deployed in modern CPU+FPGA systems, our design enables efficient and cache-friendly access to large data by only moving relevant bytes from the target memory. This (1) compresses the cache footprint and (2) reorganizes complex memory access patterns into sequential and predictable patterns. ER -
%0 Conference Paper %A Roozkhosh, Shahin %A Hoornaert, Denis %A Mancuso, Renato %A Athanassoulis, Manos %T Hardware Data Re-organization Engine for Real-Time Systems %B WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022) %D 2022 %C Houston, TX, USA %X Access patterns and cache utilization play a key role in the analyzability of data-intensive applications. In this demo, we re-examine our previous research on software-hardware codesign to push data transformation closer to memory from a real-time perspective. Deployed in modern CPU+FPGA systems, our design enables efficient and cache-friendly access to large data by only moving relevant bytes from the target memory. This (1) compresses the cache footprint and (2) reorganizes complex memory access patterns into sequential and predictable patterns.
[
{
"id": "RT_DataReorg_WiP_RTSS22",
"type": "paper-conference",
"title": "Hardware Data Re-organization Engine for Real-Time Systems",
"author": [
{
"family": "Roozkhosh",
"given": "Shahin"
},
{
"family": "Hoornaert",
"given": "Denis"
},
{
"family": "Mancuso",
"given": "Renato"
},
{
"family": "Athanassoulis",
"given": "Manos"
}
],
"container-title": "WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022)",
"issued": {
"date-parts": [
[
2022
]
]
},
"publisher-place": "Houston, TX, USA",
"abstract": "Access patterns and cache utilization play a key role in the analyzability of data-intensive applications. In this demo, we re-examine our previous research on software-hardware codesign to push data transformation closer to memory from a real-time perspective. Deployed in modern CPU+FPGA systems, our design enables efficient and cache-friendly access to large data by only moving relevant bytes from the target memory. This (1) compresses the cache footprint and (2) reorganizes complex memory access patterns into sequential and predictable patterns."
}
]
S. Roozkhosh, D. Hoornaert, R. Mancuso, and M. Athanassoulis, “Hardware Data Re-organization Engine for Real-Time Systems,” in WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022), 2022.
Roozkhosh, S., Hoornaert, D., Mancuso, R., & Athanassoulis, M. (2022). Hardware Data Re-organization Engine for Real-Time Systems. In WiP Session @ 43rd IEEE Real-Time Systems Symposium (RTSS@Work 2022).