bigsur-lancium-gpu-test 2 x Intel Xeon E5-2680 v4 testing with a Quanta Cloud S2VM-MB (S2VM3A05 BIOS) and ASPEED 11GB on Ubuntu 18.04 via the Phoronix Test Suite. Big Sur with 8x K80: Processor: 2 x Intel Xeon E5-2680 v4 @ 3.30GHz (28 Cores / 56 Threads), Motherboard: Quanta Cloud S2VM-MB (S2VM3A05 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 252GB, Disk: 500GB CT500MX500SSD1, Graphics: ASPEED 11GB, Network: 2 x Mellanox MT27710 OS: Ubuntu 18.04, Kernel: 4.15.0-101-generic (x86_64), Display Server: X Server, OpenCL: OpenCL 1.2 CUDA 10.2.131, Compiler: GCC 7.5.0 + CUDA 9.1, File-System: ext4, Screen Resolution: 1024x768 SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Triad GB/s > Higher Is Better Big Sur with 8x K80 . 7.4435 |================================================= SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: FFT SP GFLOPS > Higher Is Better Big Sur with 8x K80 . 258.27 |================================================= SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: MD5 Hash GHash/s > Higher Is Better Big Sur with 8x K80 . 3.1416 |================================================= SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Max SP Flops GFLOPS > Higher Is Better Big Sur with 8x K80 . 3687.54 |================================================ SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Bus Speed Download GB/s > Higher Is Better Big Sur with 8x K80 . 11.96 |================================================== SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Bus Speed Readback GB/s > Higher Is Better Big Sur with 8x K80 . 12.40 |================================================== SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Texture Read Bandwidth GB/s > Higher Is Better Big Sur with 8x K80 . 244.23 |================================================= cl-mem 2017-01-13 Benchmark: Copy GB/s > Higher Is Better Big Sur with 8x K80 . 131.2 |================================================== cl-mem 2017-01-13 Benchmark: Read GB/s > Higher Is Better Big Sur with 8x K80 . 145.2 |================================================== cl-mem 2017-01-13 Benchmark: Write GB/s > Higher Is Better Big Sur with 8x K80 . 142.9 |================================================== Rodinia 2.4 Test: OpenCL LavaMD Seconds < Lower Is Better Big Sur with 8x K80 . 23.56 |================================================== Rodinia 2.4 Test: OpenCL Myocyte Seconds < Lower Is Better Big Sur with 8x K80 . 88.72 |================================================== Rodinia 2.4 Test: OpenCL Heartwall Seconds < Lower Is Better Big Sur with 8x K80 . 23.90 |================================================== Rodinia 2.4 Test: OpenCL Particle Filter Seconds < Lower Is Better Big Sur with 8x K80 . 32.79 |================================================== NAMD CUDA 2.13 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Big Sur with 8x K80 . 0.12084 |================================================