Real hostname: gn30.zhores (StarPU hostname: zhores.ais-gpu.starpu-1.4.4)
Environment variables
	STARPU_HOSTNAME=zhores.ais-gpu.starpu-1.4.4

StarPU has found :
56 CPU workers:
	CPU 0
	CPU 1
	CPU 2
	CPU 3
	CPU 4
	CPU 5
	CPU 6
	CPU 7
	CPU 8
	CPU 9
	CPU 10
	CPU 11
	CPU 12
	CPU 13
	CPU 14
	CPU 15
	CPU 16
	CPU 17
	CPU 18
	CPU 19
	CPU 20
	CPU 21
	CPU 22
	CPU 23
	CPU 24
	CPU 25
	CPU 26
	CPU 27
	CPU 28
	CPU 29
	CPU 30
	CPU 31
	CPU 32
	CPU 33
	CPU 34
	CPU 35
	CPU 36
	CPU 37
	CPU 38
	CPU 39
	CPU 40
	CPU 41
	CPU 42
	CPU 43
	CPU 44
	CPU 45
	CPU 46
	CPU 47
	CPU 48
	CPU 49
	CPU 50
	CPU 51
	CPU 52
	CPU 53
	CPU 54
	CPU 55
8 CUDA workers:
	CUDA 0.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 27:00.0)
	CUDA 1.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 2a:00.0)
	CUDA 2.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 51:00.0)
	CUDA 3.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 57:00.0)
	CUDA 4.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 9e:00.0)
	CUDA 5.0 (NVIDIA A100-SXM4-80GB 71.2 GiB a4:00.0)
	CUDA 6.0 (NVIDIA A100-SXM4-80GB 71.2 GiB c7:00.0)
	CUDA 7.0 (NVIDIA A100-SXM4-80GB 71.2 GiB ca:00.0)
No OpenCL worker
No FPGA worker
No MPI_MS worker
No TCPIP_MS worker
No HIP worker

topology ... (hwloc logical indexes)
numa  0	pack  0	core 0	PU 0	CUDA 0.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 27:00.0)	
		core 1	PU 1	CUDA 1.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 2a:00.0)	
		core 2	PU 2	CUDA 2.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 51:00.0)	
		core 3	PU 3	CUDA 3.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 57:00.0)	
		core 4	PU 4	CPU 0	
		core 5	PU 5	CPU 1	
		core 6	PU 6	CPU 2	
		core 7	PU 7	CPU 3	
		core 8	PU 8	CPU 4	
		core 9	PU 9	CPU 5	
		core 10	PU 10	CPU 6	
		core 11	PU 11	CPU 7	
		core 12	PU 12	CPU 8	
		core 13	PU 13	CPU 9	
		core 14	PU 14	CPU 10	
		core 15	PU 15	CPU 11	
		core 16	PU 16	CPU 12	
		core 17	PU 17	CPU 13	
		core 18	PU 18	CPU 14	
		core 19	PU 19	CPU 15	
		core 20	PU 20	CPU 16	
		core 21	PU 21	CPU 17	
		core 22	PU 22	CPU 18	
		core 23	PU 23	CPU 19	
		core 24	PU 24	CPU 20	
		core 25	PU 25	CPU 21	
		core 26	PU 26	CPU 22	
		core 27	PU 27	CPU 23	
		core 28	PU 28	CPU 24	
		core 29	PU 29	CPU 25	
		core 30	PU 30	CPU 26	
		core 31	PU 31	CPU 27	
numa  1	pack  1	core 32	PU 32	CUDA 4.0 (NVIDIA A100-SXM4-80GB 71.2 GiB 9e:00.0)	
		core 33	PU 33	CUDA 5.0 (NVIDIA A100-SXM4-80GB 71.2 GiB a4:00.0)	
		core 34	PU 34	CUDA 6.0 (NVIDIA A100-SXM4-80GB 71.2 GiB c7:00.0)	
		core 35	PU 35	CUDA 7.0 (NVIDIA A100-SXM4-80GB 71.2 GiB ca:00.0)	
		core 36	PU 36	CPU 28	
		core 37	PU 37	CPU 29	
		core 38	PU 38	CPU 30	
		core 39	PU 39	CPU 31	
		core 40	PU 40	CPU 32	
		core 41	PU 41	CPU 33	
		core 42	PU 42	CPU 34	
		core 43	PU 43	CPU 35	
		core 44	PU 44	CPU 36	
		core 45	PU 45	CPU 37	
		core 46	PU 46	CPU 38	
		core 47	PU 47	CPU 39	
		core 48	PU 48	CPU 40	
		core 49	PU 49	CPU 41	
		core 50	PU 50	CPU 42	
		core 51	PU 51	CPU 43	
		core 52	PU 52	CPU 44	
		core 53	PU 53	CPU 45	
		core 54	PU 54	CPU 46	
		core 55	PU 55	CPU 47	
		core 56	PU 56	CPU 48	
		core 57	PU 57	CPU 49	
		core 58	PU 58	CPU 50	
		core 59	PU 59	CPU 51	
		core 60	PU 60	CPU 52	
		core 61	PU 61	CPU 53	
		core 62	PU 62	CPU 54	
		core 63	PU 63	CPU 55	

bandwidth (MB/s) and latency (us)...
from/to	NUMA 0	CUDA 0	CUDA 1	CUDA 2	CUDA 3	CUDA 4	CUDA 5	CUDA 6	CUDA 7	
NUMA 0	0	13531	14704	14702	14668	13463	14252	14589	14640	
CUDA 0	15177	0	236924	241130	240622	241366	241277	241490	241169	
CUDA 1	15083	241124	0	241049	242612	244055	243664	244586	244088	
CUDA 2	15218	243061	245252	0	243290	243743	243814	244250	243924	
CUDA 3	15107	240606	241058	246933	0	243893	244073	244172	243828	
CUDA 4	14214	241908	241515	244398	247902	0	245373	245368	245039	
CUDA 5	13908	242039	242659	242934	244880	248187	0	244886	244804	
CUDA 6	14050	241798	244640	244937	244661	244774	247711	0	244737	
CUDA 7	13955	242040	242126	244894	244433	244828	245138	244831	0	

NUMA 0	0	10	10	10	10	9	9	9	9	
CUDA 0	12	0	14	14	14	14	14	14	14	
CUDA 1	12	14	0	14	13	13	13	13	13	
CUDA 2	13	14	13	0	13	13	13	13	13	
CUDA 3	12	14	14	13	0	13	13	13	13	
CUDA 4	13	13	13	13	12	0	12	12	12	
CUDA 5	12	13	13	13	12	12	0	12	12	
CUDA 6	12	13	12	13	12	12	12	0	12	
CUDA 7	13	13	13	13	12	12	12	12	0	

GPU	NUMA in preference order (logical index), host-to-device, device-to-host
CUDA_0	 0 13531 15177	 1 14752 13965	
CUDA_1	 0 14704 15083	 1 14614 13870	
CUDA_2	 0 14702 15218	 1 14616 13976	
CUDA_3	 0 14668 15107	 1 14591 14055	
CUDA_4	 0 13463 14214	 1 14696 15179	
CUDA_5	 0 14252 13908	 1 14698 15185	
CUDA_6	 0 14589 14050	 1 14710 15176	
CUDA_7	 0 14640 13955	 1 14692 15212