HPC Current Development in Indonesia Dr. Bens Pardamean Bina Nusantara University Indonesia
HPC Facilities Educational & Research Institutions in Indonesia
CIBINONG SITE Basic Nodes: 80 node 2 processors per node, 4 cores per processors Dual Intel Xeon E5-2609 2,4 GHz 8 GB RAM DDR3-1600 500 GB HD SATA Dual Gigabit interconnection Linux (CentOS) GPU Node: 16 node 2 processors per node, 4 cores per processors Dual Intel Xeon E5-2609 2,4 GHz 8 GB RAM DDR3-1600 500 GB HD SATA Dual Gigabit interconnection NVIDIA Tesla M2075 GPGPU Linux (CentOS High Memory Node: 8 Node 2 processors per node, 8 cores per processors Dual Intel Xeon E5-2640 2 GHz 256 GB RAM DDR3-1600 2 x 300 GB HD SAS Dual Gigabit interconnection Linux (CentOS) Master Node: 2 node 2 processors per node, 8 cores per processors Dual Intel Xeon E5-2650 2,0 GHz 128 GB RAM DDR3-1600 24 TB HD SATA (Raw), RAID 5 Dual 10 Gigabit interconnection Linux (CentOS) BANDUNG SITE Basic Nodes: 34 node 2 processors per node, 4 cores per processors Dual Intel Xeon E5-2609 2,4 GHz 8 GB RAM DDR3-1600 500 GB HD SATA Dual Gigabit interconnection Linux (CentOS) GPU Node: 4 node 2 processors per node, 4 cores per processors Dual Intel Xeon E5-2609 2,4 GHz 8 GB RAM DDR3-1600 500 GB HD SATA Dual Gigabit interconnection NVIDIA Tesla M2075 GPGPU Linux (CentOS) Master Node: 2 node 2 processors per node, 8cores per processors Dual Intel Xeon E5-2650 2,0 GHz 128 GB RAM DDR3-1600 24 TB HD SATA (Raw), RAID 5 Dual 10 Gigabit interconnection Linux (CentOS)
Beowulf Cluster Resource Manager: Sun Grid Engine Operating System: Linux 64bit Memory: 12.8 TB Interconnection: Gigabit LAN 320 Core Processors
BNU School of Computer Science GPU: NVIDIA Titan XP NVIDIA GeForce GTX 1050 BNU Bioinformatics & Data Science Research Center Server: HPE DL380 Gen9 (Intel Xeon E5-2630) HPE DL360 Gen9 (Intel Xeon E5-2609) HPE ML350 Gen9 (Intel Xeon E5-2620) HP ProLiant ML350p Gen8 (Intel Xeon E5-2620) Gadjah Mada University GPU: NVIDIA Titan XP NVIDIA GeForce GTX 1080 Ti Bandung Institute of Technology University of Indonesia GPU: NVIDIA GeForce GTX Titan X Atma Jaya University Yogyakarta GPU: NVIDIA GeForce GTX 1080 Ti (5 units) GPU: NVIDIA Tesla P100 NVIDIA Tesla P40 NVIDIA Tesla P4 NVIDIA Tesla K40 NVIDIA Tesla K20 NVIDIA GeForce GTX Titan X (3 units) Front end : 1 node with Intel Xeon 8 core, RAM 12 GB, HDD 4 TB Compute nodes: 2 nodes with AMD 32 core, 12 GB of RAM GPU Compute nodes: 4 nodes with Intel core i7, RAM 6 GB, GPU NVIDIA 950GTX Login Node: 1 buah komputer Intel Xeon 12 core, RAM 12 GB
BNU Research Networks
NEAR-FUTURE PARTNERS TO HAVE HPC SYSTEM INTERNATIONAL PARTNERS USA USA NATIONWIDE UNIVERSITY NETWORK INDONESIA (NUNI)
The Usage and Future Development of HPC in Indonesia
HPC in ICABIOGRAD (Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development) Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development (ICABIOGRAD) is a technical operative unit of research and development under the authority of the Indonesian Agency for Agricultural Research and Development (IAARD). ICABIOGRAD has a task and mandate to perform research on biotechnology and agricultural genetic resources. High Performance Computing (HPC) was deployed as a highspeed and high-capacity computing for solving complex computational problems in genome-wide association studies (GWAS) for agriculture genetic research. Many problems have been solved with HPC techniques that were impossible to solve with individual workstations or personal computers. Illumina Systems Dell Precision 7500 DELL PowerEdge R610 (3 units) EMC Isilon iq2000 (3 units capacity 36 TB) User (Remote)
NVIDIA - BNU AI R&D CENTER NVIDIA - BNU AI R&D Center aims to accelerate research and development of AI in Indonesia. To achieve this goal, AI R&D Center opens up collaboration in Artificial Intelligence (AI) research between academics and industries. AI R&D Center also holds numerous AI workshops to accelerate the spread of AI knowledge in Indonesia. These workshops are run in collaboration with NVIDIA Deep Learning Institute..
BNU HPC RESEARCH NETWORKS
BENCHMARKING with HPC at UNIVERSITY of SOUTHERN CALIFORNIA Dell X2200 with 10 Gigabit of Backbone, 4-core/dual proc 2.3GHz, 16GB memory Dell PE1950 with 10 Gigabit of Backbone, 4-core/dual proc 2.3GHz, 12GB memory Dell PE1950 with 10 Gigabit of Backbone, 4-core/dual proc 2.3GHz, 12GB memory Oracle X2200 with 10 Gigabit of Backbone, 4-core/dual proc 2.3GHz, 12GB memory IBM DX340 with 10 Gigabit of Backbone, 4-core/dual proc 2.3GHz, 16GB memory IBM DX360 with 10 Gigabit of Backbone, 6-core/dual proc 3.0GHz, 24GB memory HP SL160 with 10 Gigabit of Backbone, 6-core/dual proc 3.0GHz, 24GB memory HP DL165 with 10 Gigabit of Backbone, 12-core/dual proc 2.3GHz, 48GB memory Dell R910 with 10 Gigabit of Backbone, 10-core/quad proc 2.0GHz, 1TB memory HP SL250S 56.6 Gigabit of Backbone, 8-core/dual proc 2.4GHz, 64GB memory dual K20 NVIDIA GPUs HP SL230S 56.6 Gigabit of Backbone, 8-core/dual proc 2.4GHz, 128GB memory https://hpcc.usc.edu/support/infrastructure/hpcc-computing-resource-overview/
BNU HPC DEVELOPMENT ROADMAP Single GPU Node HPC for Deep Learning Multi GPU Nodes HPC System for Distributed Computing Multi GPU Nodes HPC System for Distributed Deep Learning Upgrade HPE DL380 with 2x GPUs Tesla V100 to be used for Deep Learning Add 4 HPE Apollo 6500 (can contain 8 GPUs) or better Form a distributed system with 5 CPU nodes and 3 GPU nodes Add 35 GPUs Tesla V100 or better Form a distributed system with 8 GPU nodes Add 4 NVIDIA DGX- 1 with Tesla V100 or better Form a distributed system with 12 GPU nodes 2020 2022 2024 2026
BNU NETWORKS HPC DEVELOPMENT ROADMAP Single GPU Node in 4 Universities Single GPU Node in All Partner Universities Nationwide Multi GPU Nodes HPC System Help 4 universities to get a GPU node: Satya Wacana Christian University, Salatiga Indonesia Islamic University, Jogjakarta Hasanuddin University, Makassar Mulawarman University, Samarinda Help all partner universities to get at least 1 GPU node Help all partner universities to get more GPU nodes Form a distributed system with all GPU nodes of partner universities 2020 2022 2024 2026
Thank You