PARAM
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PARAM is a series of Indian supercomputers designed and assembled by the Centre for Development of Advanced Computing (C-DAC) in Pune.[1][2] PARAM means "supreme" in the Sanskrit language, whilst also creating an acronym for "PARAllel Machine".[1]
History
Script error: No such module "labelled list hatnote". C-DAC was created in November 1987, originally as the Centre for Development of Advanced Computing Technology (C-DACT).[3] This was in response to issues purchasing supercomputers from foreign sources.[4] The Indian Government decided to try and develop indigenous computing technology.[5]
PARAM 8000
The PARAM 8000 was the first machine in the series and was built from scratch.[2] A prototype was benchmarked at the "1990 Zurich Super-computing Show":[note 1] of the machines that ran at the show it came second only to one from the United States.[6]
A 64-node machine was delivered in August 1991.[2][1] Each node used Inmos T800/T805 transputers.[1] A 256-node machine had a theoretical performance of 1GFLOPS, however in practice had a sustained performance of 100-200MFLOPS.[1][2] PARAM 8000 was a distributed memory MIMD architecture with a reconfigurable interconnection network.[7]
The PARAM 8000 was noted to be 28 times more powerful than the Cray X-MP that the government originally requested, for the same $10 million cost quoted for it.[8]
Exports
The computer was a success and was exported to Germany, United Kingdom and Russia.[9] Apart from taking over the home market, PARAM attracted 14 other buyers with its relatively low price tag of $350,000.[10]
The computer was also exported to the ICAD Moscow in 1991 under Russian collaboration.[11][12][13][14]
PARAM 8600
PARAM 8600 was an improvement over PARAM 8000. In 1992 C-DAC realised its machines were underpowered and wished to integrate the newly released Intel i860 processor.[15] Each node was created with one i860 and four Inmos T800 transputers.[7][2][1] The same PARAS programming environment was used for both the PARAM 8000 and 8600; this meant that programs were portable.[2][1] Each 8600 cluster was noted to be as powerful as 4 PARAM 8000 clusters.[1]
PARAM 9000
The PARAM (param vashisht lega) 9000 was designed to be merge cluster processing and massively parallel processing computing workloads.[16] It was first demonstrated in 1994.[4] The design was changed to be modular so that newer processors could be easily accommodated.[7] Typically a system used 32–40 processors, however it could be scaled up to 200 CPUs using the clos network topology.[7] The PARAM 9000/SS was the SuperSPARC II processor variant,[17] the PARAM 9000/US used the UltraSPARC processor,[8] and the PARAM 9000/AA used the DEC Alpha.[18]
PARAM 10000
The PARAM 10000 was unveiled in 1998 as part of C-DAC's second mission.[4] PARAM 10000 used several independent nodes, each based on the Sun Enterprise 250 server; each such server contained two 400Mhz UltraSPARC II processors. The base configuration had three compute nodes and a server node. The peak speed of this base system was 6.4 GFLOPS.[19] A typical system would contain 160 CPUs and be capable of 100 GFLOPS[20] But, it was easily scalable to the TFLOP range. Exported to Russia and Singapore.[21]
Further computers
Further computers were made in the PARAM series as one-off supercomputers, rather than serial production machines. From the late 2010s many machines were created as part of the National Supercomputing Mission.
Supercomputer summary
| Name | Release Year | Notes | Rmax | Rpeak | Location |
|---|---|---|---|---|---|
| PARAM 8000 | 1991 | Inmos T800 Transputers, Distributed Memory MIMD, 64 processors | Multiple | ||
| PARAM 8600 | 1992 | Improved version of PARAM 8000. Intel i860, 256 processors. Each 8600 cluster was as powerful as 4 PARAM 8000 clusters.[22] | 5 GFLOPS | Multiple | |
| PARAM 9900 | 1994 | Clos network. SuperSPARC II, UltraSPARC and DEC Alpha variants, 32 to 200 processors | Multiple | ||
| PARAM 10000 | 1998 | Sun Enterprise 250, 400Mhz UltraSPARC UltraSPARC II processor, 160 processors | 6.4 GFLOPS | Motilal Nehru National Institute of Technology, Prayagraj | |
| PARAM Padma | 2002[4] | 1TB storage, 248 IBM Power4 – 1 GHz,[4] IBM AIX 5.1L, PARAMNet. PARAM Padma was the first Indian machine ranked on a worldwide supercomputer list.[4] | 1024 GFLOPS | C-DAC Bengaluru | |
| PARAM Yuva | 2008 | 4608 cores, Intel 73XX – 2.9 GHz, 25 to 200 TB,[23] PARAMnet 3. | 38.1 TFLOPS[24] | 54 TFLOPS[24] | |
| PARAM Yuva II | 2013 | Created in three months at a cost of Template:INRConvert - first Indian supercomputer to achieve more than 500 teraflops.[25][26][27] Intel is the original equipment manufacturer and NetWeb technologies is the system integrator. It is interconnected with Indian Institute of Technology and National Institute of Technology via National Knowledge Network.[28] | 360.8 TFLOPS[29][30] | 524 TFLOPS | C-DAC Pune |
| PARAM Kanchenjunga[31] | 2016 | Cost ₹3 crore.[32] | 15 TFLOPS | National Institute of Technology, Sikkim | |
| PARAM Ishan | 2016 | Storage 300TB based on Lustre.[22] | 250 TFLOPS[33] | IIT Guwahati | |
| PARAM Bio-Embryo[34] | 100 TFLOPS | Centre for Development of Advanced Computing, Pune | |||
| PARAM Bio-Inferno[34] | 147.5 TFLOPS | C-DAC Pune | |||
| PARAM Shrestha[34] | 100 TFLOPS | C-DAC Pune | |||
| PARAM Neel[35] | India's first HPC system that uses the Fujitsu A64fx- NSP1 CPU, an ARM processor with 48 cores and a speed of 1.8 GHz | 100 TFLOPS | C-DAC Pune | ||
| PARAM Shivay[36][37] | 2019 | 192 CPU compute nodes, 20 High memory nodes, 11 GPU compute nodes. Cost ₹32.5 crore. | 0.43 PFLOPS | 0.84 PFLOPS | IIT (BHU) Varanasi |
| PARAM Brahma[38][39] | 2019 | 1PB storage. Uses Direct Contact Liquid Cooling.[22] | 0.85 PFLOPS | 1.7 PFLOPS | Indian Institute of Science Education and Research, Pune |
| PARAM Siddhi-AI[40] | 2020 | Nvidia DGX SuperPOD based networking architecture, HPC-AI engine software frame works and cloud platform from C-DAC | 4.6 PFLOPS | 5.267 PFLOPS | C-DAC Pune |
| PARAM Sanganak[41] | 2020 | 1.67 PFLOPS | IIT Kanpur | ||
| PARAM Yukti[35] | 1.8 PFLOPS | Jawaharlal Nehru Centre For Advanced Scientific Research, Bengaluru | |||
| PARAM Utkarsh[42] | 2021 | Based on Intel Cascade Lake processor and Nvidia Tesla V100 GPU with 100 Gbit/s infiniband non-blocking interconnect | 838 TFLOPS | C-DAC Bengaluru | |
| PARAM Smriti[43] | 2021 | 838 TFLOPS | National Agri-Food Biotechnology Institute, Mohali | ||
| PARAM Seva[34] | 2021 | Based on heterogeneous and hybrid configuration of Intel Xeon Cascade Lake processors, and Nvidia Tesla V100. | 838 TFLOPS | IIT Hyderabad | |
| PARAM Spoorthi[35] | 2021 | 100 TFLOPS | Society for Electronic Transactions and Security, Chennai | ||
| PARAM Pravega[44][45] | 2022 | It runs on CentOS 7.x, has 4PB storage, Intel Xeon Cascade Lake processors and Nvidia Tesla V100.[22] | 3.3 PFLOPS | Indian Institute of Science, Bengaluru | |
| PARAM Ganga[46] | 2022 | 1.67 PFLOPS | IIT Roorkee | ||
| PARAM Shakti[47] | 2022 | 850 TFLOPS | 1.66 PFLOPS | IIT Kharagpur | |
| PARAM Ananta[48] | 2022 | 838 TFLOPS | IIT Gandhinagar | ||
| PARAM Himalaya[35] | 2022 | 838 TFLOPS | IIT Mandi | ||
| PARAM Kamrupa[49] | 2022 | 107 CPU nodes, 10 GPU nodes, 9 high memory nodes, 740 CPU cores, 102400 CUDA cores. It runs on low and high microwave power with active and passive high energy source.[50][51][52][53] Liquid cooling.[54] | 838 TFLOPS | 1.5 PFLOPS | IIT Guwahati[55] |
| PARAM Porul[56] | 2022 | 107 CPU nodes, 10 GPU nodes, 39 high memory nodes, 102400 CUDA cores.[57] | 838 TFLOPS | National Institute of Technology, Tiruchirappalli | |
| PARAM AIRAWAT | 2023 | The combined AIRAWAT PoC of 200 AI Petaflops and PARAM Siddhi-AI of 210 AI Petaflops results in a sustained computing capacity of 8.5 Petaflops (Rmax) Double Precision and a total peak compute of 410 AI Petaflops Mixed Precision. 13 Petaflops is the maximum computation capacity (Double Precision, Rpeak). A plan for expanding AIRAWAT to 1,000 AI Petaflops of Mixed Precision computing capacity has been envisioned by MeitY.[58] | 8.5 PFLOPS | 13 PFLOPS | C-DAC Pune |
| PARAM Rudra[34] | 2021 | Based on Intel Xeon 2nd Generation Cascade Lake dual socket processors, Nvidia A100 GPU, 35TB memory, and 2PB storage.[59] Cost ₹130 crore.[60] | 138 TFLOPS | C-DAC Pune | |
| 2024 | 1 PFLOPS[61] | Giant Metrewave Radio Telescope, Pune[61] | |||
| 3 PFLOPS[61] | Inter-University Accelerator Centre, New Delhi | ||||
| 838 TFLOPS[61] | S. N. Bose National Centre for Basic Sciences, Kolkata |
PARAMNet
PARAMNet is a high speed high bandwidth low latency network developed for the PARAM series. The original PARAMNet used an 8 port cascadable non-blocking switch developed by C-DAC. Each port provided 400 Mb/s in both directions (thus 2x400 Mbit/s) as it was a full-duplex network. It was first used in PARAM 10000.[8]
PARAMNet II, introduced with PARAM Padma, is capable of 2.5 Gbit/s while working full-duplex. It supports interfaces like Virtual Interface Architecture and Active messages. It uses 8 or 16 port SAN switches.[62]
PARAMNet-3, used in PARAM Yuva and PARAM Yuva-II, is next generation high performance networking component for building supercomputing systems. PARAMNet-3 consists of tightly integrated hardware and software components. The hardware components consist of Network Interface Cards (NIC) based on CDAC's fourth generation communication co-processor "GEMINI", and modular 48-port Packet Routing Switch "ANVAY". The software component "KSHIPRA" is a lightweight protocol stack designed to exploit capabilities of hardware and to provide industry standard interfaces to the applications. Other application areas identified for deployment of PARAMNet-3 are storage and database applications.[63]
Operators
PARAM supercomputers are used by both public and private[23] operators for various purposes. As of 2008, 52 PARAMs have been deployed. Of these, 8 are located in Russia, Singapore, Germany and Canada. PARAMs have also been sold to Tanzania, Armenia, Saudi Arabia, Singapore, Ghana, Myanmar, Nepal, Kazakhstan, Uzbekistan, and Vietnam.[64]
See also
- EKA
- SAGA-220, a 220 TeraFLOP supercomputer built by ISRO
- Supercomputing in India
- Wipro Supernova
Notes
References
External links
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