curl -fsSL https://raw.githubusercontent.com/ROCm/spur/main/install.sh | bash

# Latest release
docker build -t spur .

# Nightly
docker build --build-arg VERSION=nightly -t spur:nightly .

# Run
docker run --rm spur sinfo
docker run -d --name spurctld -p 6817:6817 spur spurctld --listen=[::]:6817

# Prerequisites
sudo apt install protobuf-compiler
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Build
cargo build --release

# Run tests
cargo test

./deploy/build-portable.sh    # outputs to dist/bin/

# 1. Create config
mkdir -p /etc/spur
cat > /etc/spur/spur.conf <<'EOF'
cluster_name = "my-cluster"

[[partitions]]
name = "default"
default = true
nodes = "node[001-008]"
max_time = "24:00:00"

[[nodes]]
names = "node[001-008]"
cpus = 64
memory_mb = 256000
EOF

# 2. Start controller
spurctld -D --state-dir /var/spool/spur

# 3. Start node agent (on each compute node)
spurd -D --controller http://controller:6817

# 4. Optionally start REST API and accounting
spurrestd --controller http://controller:6817
spurdbd --database-url postgresql://spur:spur@localhost/spur --migrate

spur submit job.sh          # Submit a batch job
spur queue                  # View job queue
spur cancel 12345           # Cancel a job
spur nodes                  # View cluster nodes
spur history                # View job history (accounting)
spur show job 12345         # Detailed job info
spur show node node001      # Detailed node info
spur show partition gpu     # Detailed partition info
spur version                # Show version

# Via symlinks (create once)
ln -s $(which spur) /usr/local/bin/sbatch
ln -s $(which spur) /usr/local/bin/squeue
ln -s $(which spur) /usr/local/bin/scancel
ln -s $(which spur) /usr/local/bin/sinfo
ln -s $(which spur) /usr/local/bin/sacct
ln -s $(which spur) /usr/local/bin/scontrol

# Then use as normal
sbatch --job-name=train -N4 --gres=gpu:mi300x:8 train.sh
squeue -u $USER
scancel 12345
sinfo -N
sacct -u $USER --starttime=2024-01-01

# Or as subcommands
spur sbatch job.sh
spur squeue -u alice

#!/bin/bash
#SBATCH --job-name=training
#SBATCH -N 4
#SBATCH --ntasks-per-node=8
#SBATCH --gres=gpu:mi300x:8
#SBATCH --time=4:00:00
#SBATCH --partition=gpu

torchrun --nproc_per_node=8 train.py

# Submit a job
curl -X POST http://localhost:6820/api/v1/job/submit \
  -H "Content-Type: application/json" \
  -d '{"job": {"name": "test", "partition": "gpu", "nodes": 2, "script": "#!/bin/bash\necho hello"}}'

# List jobs
curl http://localhost:6820/api/v1/jobs

# Cluster health
curl http://localhost:6820/api/v1/ping

#include <slurm/slurm.h>  // Use Slurm headers

job_desc_msg_t desc;
slurm_init_job_desc_msg(&desc);
desc.name = "my_job";
desc.script = "#!/bin/bash\necho hello";

uint32_t job_id;
slurm_submit_batch_job(&desc, &job_id);
printf("Submitted job %u\n", job_id);

                    ┌─────────────────────────────┐
                    │        API Surface           │
                    │  CLI (spur / sbatch / srun)  │
                    │  REST (spurrestd)            │
                    │  C FFI (libspur_compat.so)   │
                    └──────────────┬───────────────┘
                                   │ gRPC
                    ┌──────────────▼───────────────┐
                    │      spurctld (Rust)          │
                    │  ┌─────────┐ ┌────────────┐  │
                    │  │Backfill │ │  Raft Log + │  │
                    │  │Scheduler│ │  Snapshots  │  │
                    │  │         │ │  (openraft) │  │
                    │  └─────────┘ └────────────┘  │
                    └──────┬───────────────┬───────┘
                           │               │
              ┌────────────▼──┐    ┌───────▼────────┐
              │  spurd (Rust)  │    │ spurdbd (Rust)  │
              │  Node agent    │    │ Accounting      │
              │  - cgroups v2  │    │ - PostgreSQL    │
              │  - GPU enum    │    │ - Fair-share    │
              │  - fork/exec   │    │ - Job history   │
              └────────────────┘    └─────────────────┘

cluster_name = "production"

[controller]
listen_addr = "[::]:6817"
state_dir = "/var/spool/spur"
hosts = ["ctrl1", "ctrl2"]

[scheduler]
plugin = "backfill"
interval_secs = 1
fairshare_halflife_days = 14

[accounting]
database_url = "postgresql://spur:spur@db1/spur"

[[partitions]]
name = "gpu"
default = true
nodes = "gpu[001-064]"
max_time = "72:00:00"

[[partitions]]
name = "cpu"
nodes = "cpu[001-256]"
max_time = "168:00:00"

[[nodes]]
names = "gpu[001-064]"
cpus = 128
memory_mb = 512000
gres = ["gpu:mi300x:8"]

[[nodes]]
names = "cpu[001-256]"
cpus = 256
memory_mb = 1024000

spur/
├── proto/slurm.proto           # gRPC service definitions
├── docs/quickstart.md          # Getting started guide
├── crates/
│   ├── spur-proto/             # Generated gRPC code
│   ├── spur-core/              # Core types: Job, Node, ResourceSet, config, hostlist, partition, qos, and more
│   ├── spur-net/               # WireGuard mesh networking, address detection
│   ├── spur-sched/             # Backfill scheduler, priority, timeline

│   ├── spurctld/               # Controller daemon
│   ├── spurd/                  # Node agent daemon
│   ├── spurdbd/                # Accounting daemon
│   ├── spurrestd/              # REST API daemon
│   ├── spur-cli/               # CLI binary (multi-call: spur, sbatch, squeue, ...)
│   ├── spur-ffi/               # C FFI shim (libspur_compat.so)
│   ├── spur-spank/             # SPANK plugin host
│   ├── spur-k8s/               # K8s integration
│   └── spur-tests/             # Test suite (mirrors Slurm numbering)

cargo test                    # Run all tests
cargo test -p spur-tests      # Run integration test suite only
cargo test -p spur-core       # Run core library tests only