Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

Ernesto Rivera-Alvarado; Francisco J. Torres-Rojas

doi:10.1007/978-3-030-41005-6_7

Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

Ernesto Rivera-Alvarado
, Francisco J. Torres-Rojas

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Bounding Volume Hierarchy (BVH) is the main acceleration mechanism used for improving ray tracing rendering time. Several research efforts have been made to optimize the BVH algorithm for GPU and CPU architectures. Nonetheless, as far as we know, no study has targeted the APU (Accelerated Processing Unit) that have a CPU and an integrated GPU in the same die. The APU has the advantage of being able to share workloads within its internal processors (CPU and GPU) through heterogeneous computing. We crafted a specific implementation of the ray tracing algorithm with BVH traversal implemented for the APU architecture and compared the performance of this SoC against CPU and GPU equivalent implementations. It was found that the performance of the APU surpassed the other architectures.

Original language	English
Title of host publication	High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers
Editors	Juan Luis Crespo-Mariño, Esteban Meneses-Rojas
Publisher	Springer
Pages	94-108
Number of pages	15
ISBN (Print)	9783030410049
DOIs	https://doi.org/10.1007/978-3-030-41005-6_7
State	Published - 2020
Event	6th Latin American High Performance Computing Conference, CARLA 2019 - Turrialba, Costa Rica Duration: 25 Sep 2019 → 27 Sep 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1087 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	6th Latin American High Performance Computing Conference, CARLA 2019
Country/Territory	Costa Rica
City	Turrialba
Period	25/09/19 → 27/09/19

Keywords

Accelerated Processing Unit
APU
Bounding Volume Hierarchy
BVH
CPU
GPU
Heterogeneous computing
Ray tracing

Access to Document

10.1007/978-3-030-41005-6_7

Cite this

Rivera-Alvarado, E., & Torres-Rojas, F. J. (2020). Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing. In J. L. Crespo-Mariño, & E. Meneses-Rojas (Eds.), High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers (pp. 94-108). (Communications in Computer and Information Science; Vol. 1087 CCIS). Springer. https://doi.org/10.1007/978-3-030-41005-6_7

Rivera-Alvarado, Ernesto ; Torres-Rojas, Francisco J. / Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing. High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. editor / Juan Luis Crespo-Mariño ; Esteban Meneses-Rojas. Springer, 2020. pp. 94-108 (Communications in Computer and Information Science).

@inproceedings{6da542776e6b46bd8c432ef3f25099d8,

title = "Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing",

abstract = "Bounding Volume Hierarchy (BVH) is the main acceleration mechanism used for improving ray tracing rendering time. Several research efforts have been made to optimize the BVH algorithm for GPU and CPU architectures. Nonetheless, as far as we know, no study has targeted the APU (Accelerated Processing Unit) that have a CPU and an integrated GPU in the same die. The APU has the advantage of being able to share workloads within its internal processors (CPU and GPU) through heterogeneous computing. We crafted a specific implementation of the ray tracing algorithm with BVH traversal implemented for the APU architecture and compared the performance of this SoC against CPU and GPU equivalent implementations. It was found that the performance of the APU surpassed the other architectures.",

keywords = "Accelerated Processing Unit, APU, Bounding Volume Hierarchy, BVH, CPU, GPU, Heterogeneous computing, Ray tracing",

author = "Ernesto Rivera-Alvarado and Torres-Rojas, \{Francisco J.\}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 6th Latin American High Performance Computing Conference, CARLA 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2020",

doi = "10.1007/978-3-030-41005-6\_7",

language = "Ingl{\'e}s",

isbn = "9783030410049",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "94--108",

editor = "Crespo-Mari{\~n}o, \{Juan Luis\} and Esteban Meneses-Rojas",

booktitle = "High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers",

}

Rivera-Alvarado, E & Torres-Rojas, FJ 2020, Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing. in JL Crespo-Mariño & E Meneses-Rojas (eds), High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1087 CCIS, Springer, pp. 94-108, 6th Latin American High Performance Computing Conference, CARLA 2019, Turrialba, Costa Rica, 25/09/19. https://doi.org/10.1007/978-3-030-41005-6_7

Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing. / Rivera-Alvarado, Ernesto; Torres-Rojas, Francisco J.
High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. ed. / Juan Luis Crespo-Mariño; Esteban Meneses-Rojas. Springer, 2020. p. 94-108 (Communications in Computer and Information Science; Vol. 1087 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

AU - Rivera-Alvarado, Ernesto

AU - Torres-Rojas, Francisco J.

PY - 2020

Y1 - 2020

N2 - Bounding Volume Hierarchy (BVH) is the main acceleration mechanism used for improving ray tracing rendering time. Several research efforts have been made to optimize the BVH algorithm for GPU and CPU architectures. Nonetheless, as far as we know, no study has targeted the APU (Accelerated Processing Unit) that have a CPU and an integrated GPU in the same die. The APU has the advantage of being able to share workloads within its internal processors (CPU and GPU) through heterogeneous computing. We crafted a specific implementation of the ray tracing algorithm with BVH traversal implemented for the APU architecture and compared the performance of this SoC against CPU and GPU equivalent implementations. It was found that the performance of the APU surpassed the other architectures.

AB - Bounding Volume Hierarchy (BVH) is the main acceleration mechanism used for improving ray tracing rendering time. Several research efforts have been made to optimize the BVH algorithm for GPU and CPU architectures. Nonetheless, as far as we know, no study has targeted the APU (Accelerated Processing Unit) that have a CPU and an integrated GPU in the same die. The APU has the advantage of being able to share workloads within its internal processors (CPU and GPU) through heterogeneous computing. We crafted a specific implementation of the ray tracing algorithm with BVH traversal implemented for the APU architecture and compared the performance of this SoC against CPU and GPU equivalent implementations. It was found that the performance of the APU surpassed the other architectures.

KW - Accelerated Processing Unit

KW - APU

KW - Bounding Volume Hierarchy

KW - BVH

KW - CPU

KW - GPU

KW - Heterogeneous computing

KW - Ray tracing

UR - https://www.scopus.com/pages/publications/85081170432

U2 - 10.1007/978-3-030-41005-6_7

DO - 10.1007/978-3-030-41005-6_7

M3 - Contribución a la conferencia

AN - SCOPUS:85081170432

SN - 9783030410049

T3 - Communications in Computer and Information Science

SP - 94

EP - 108

BT - High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers

A2 - Crespo-Mariño, Juan Luis

A2 - Meneses-Rojas, Esteban

PB - Springer

T2 - 6th Latin American High Performance Computing Conference, CARLA 2019

Y2 - 25 September 2019 through 27 September 2019

ER -

Rivera-Alvarado E, Torres-Rojas FJ. Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing. In Crespo-Mariño JL, Meneses-Rojas E, editors, High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. Springer. 2020. p. 94-108. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-41005-6_7

Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this