3.8. List of queues

Available queues are as follows.

Note

The numbers in () represent the default values.

3.8.1. HPE Cray XD220v

3.8.1.1. Node Configuration

Node type

Number of nodes

CPU

GPU

Memory

XD220v general

120

Xeon Platinum 8480+ x 2 = 112 Cores

-

512 GiB

XD220v large memory

7

Xeon Platinum 8480+ x 2 = 112 Cores

-

2.0 TiB

3.8.1.2. Exclusive Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

P_030

30(1)

13800(460)

72(24)

3360(112)

0

For batch job

TP_002

2(1)

920(460)

168(24)

224(112)

0

For long time job

MP_001

1(1)

1840(1840)

72(24)

112(112)

0

For large memory

Attention

Consumed node time=Run time(H)×Number of used nodes×1.0

3.8.1.3. Shared Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

CP_001

1(1)

230(4)

72(24)

56(1)

0

For small job

DP_002

2(1)

32(4)

2(2)

4(1)

0

For debug

Attention

Consumed node time=Run time(H)×Number of used cores/112×1.0

3.8.1.4. Application Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

TP_030

30(1)

13800(460)

168(24)

3360(112)

0

For application

MP_007

7(1)

12880(1840)

72(24)

784(112)

0

For application

HP_127

127(127)

68080(68080)

24(24)

14224(14224)

0

For ultra-large-scale HPC challenge

HP_129

129(129)

75760(75760)

24(24)

16144(16144)

0

For ultra-large-scale HPC challenge

Attention

Consumed node time=Run time(H)×Number of used nodes×1.0

3.8.2. HPE Scale-up Server 3200

3.8.2.1. Node Configuration

Node type

number of nodes

CPU

GPU

Memory

Scale-up Server 3200

2

Xeon Platinum 8490H x 16 = 960 Cores

-

4.0 TiB

3.8.2.2. Exclusive Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

S_001

1(1)

3840(3840)

72(24)

960(960)

0

For large job

Attention

Consumed node time=Run time(H)×Number of used nodes×8.0

3.8.2.3. Shared Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

CS_001

1(1)

1920(960)

72(24)

480(240)

0

For large job

Attention

Consumed node time=Run time(H)×Number of used cores/960×8.0

3.8.3. HPE Cray XD670

3.8.3.1. Node Configuration

Node type

Number of nodes

CPU

GPU

Memory

XD670

11

Xeon Platinum 8480+ x 2 = 112 Cores

NVIDIA H100 x 8

1.0 TiB

3.8.3.2. Exclusive Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

A_002

2(1)

1840(920)

24(2)

224(112)

16(8)

For batch job

Attention

Consumed node time=Run time(H)×Number of used nodes×8.0

3.8.3.3. Shared Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

CA_001

1(1)

460(8)

72(24)

56(1)

4(1)

For small job

DA_002

2(1)

32(8)

2(2)

4(1)

4(1)

For debug

Attention

Consumed node time=Run time(H)×Number of used GPUs×1.0

3.8.3.4. Application Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

TA_004

4(1)

3680(920)

168(24)

448(112)

32(8)

For application

HA_011

11(1)

10120(920)

24(24)

1232(112)

88(88)

For ultra-large-scale HPC challenge

Attention

Consumed node time=Run time(H)×Number of used nodes×1.0

3.8.4. Front end node

3.8.4.1. Node Configuration

Node type

Number of nodes

CPU

GPU

Memory

super

3

Xeon Gold 6430 x 2 = 64 Cores

-

256 GiB

gpu

2

Xeon Gold 6430 x 2 = 64 Cores

NVIDIA H100 x 1

256 GiB

3.8.4.2. Shared Queue

Queue name

Limit of number of nodes

Memory Limit [GB]

Walltime limit

Limit of concurrent execution

Upper Limit of using GPU

Notes

IP_001

1(1)

8(4)

8(1)

4(1)

0

For interactive mode

IA_001

1(1)

8(4)

8(1)

4(1)

1

For interactive mode (GPU reference available)

Attention

Consumed node time=Run time(H)×Number of used cores/64×1.0

3.8.5. Usage of Application Queue

We support researchers who want to develop application software for ultra-large-scale calculations on MASAMUNE-II and a new methodology for Computational Materials Science. We also offer job queues for these calculations and you can use them by submitting your application. As for the application, please contact us .