Telescope

Computational resources

Some 350 gigabytes a night cross the Pacific and are reduced within the daily budget. That takes as much engineering as the optics do.

128CPU cores
2× A100GPUs
3.6PBStorage
66 ± 24GB/hrPipeline throughput
On site

Control computers in Chile

On-site computing consists of sixteen Telescope Control Computers, one per operational unit, and a single Main Control Computer that coordinates the array. Each TCC drives its own mount, camera, focuser and filter wheel and writes exposures to local storage as they complete. The MCC dispatches observation commands through RTCSpy, aggregates data from every TCC, and manages transfer to the processing facility at Seoul National University over KREONET.

On-site infrastructure
Telescope control computers16, one per operational unit
Main control computer1, array-level command hub
DispatchRTCSpy over real-time network
Link to KoreaKREONET
Transfer protocolGridFTP, ≈ 80 MB s⁻¹
Typical transfer time< 12 hours (ToO: tens of minutes)
Processing

Proton

All 7DT data are reduced on Proton, a dedicated server with dual AMD EPYC 7513 processors providing 128 cores at up to 2.6 GHz, 512 GB of memory, and two NVIDIA A100 GPUs sharing memory over NVLink. A nightly volume of roughly 3,000 raw images requires an effective per-image processing time of about 30 seconds to complete within the daily budget; the current pipeline sustains a median end-to-end throughput of 66 ± 24 GB per hour and clears a typical survey night in about five hours of wall-clock time after transfer completes. GPU acceleration is available for preprocessing, though in this deployment the throughput gain over the CPU path is minimal — the pipeline is bound by I/O rather than by computation.

Processing server
CPU2 × AMD EPYC 7513
Cores128 @ up to 2.6 GHz
Memory512 GB (8 × 64 GB)
GPU2 × NVIDIA A100, 82 GB VRAM
GPU interconnectNVLink
Target throughput≈ 30 s per image
Storage

Lyman & Balmer

A typical night yields about 3,000 raw frames of roughly 117 MiB each, some 350 GB before compression. Raw data are compressed on site and transferred by GridFTP at a typical 80 MB/s, a procedure that usually completes in under twelve hours; target-of-opportunity data skip the compression and the wait for sunrise, cutting latency to tens of minutes. Storage is provided by two servers named for the hydrogen transition series: Lyman, with two 1.2 PB volumes, and Balmer, with one, for a combined capacity of approximately 3.6 PB. Both are attached to the compute server as NFS mounts over a 10 Gbps class network, so that I/O buffering does not burden processing.

Storage servers
Lyman2 × 1.2 PB (RAID 60)
Balmer1 × 1.2 PB, extensible
Total capacity≈ 3.6 PB
AttachmentNFS over 10 Gbps class network
Nightly inflow≈ 350 GB (≈ 3,000 × 117 MiB)
≈ 3,000Images per night
≈ 5hrTo reduce a night
≈ 350GBNightly inflow
1.75MImages archived
Facility

The processing center

The 7DT data processing facility at Seoul National University
Proton The dedicated reduction server at Seoul National University, where all 7DT data are processed.