TY - GEN
T1 - Comparing the power and performance of Intel's SCC to state-of-the-art CPUs and GPUs
AU - Totoni, Ehsan
AU - Behzad, Babak
AU - Ghike, Swapnil
AU - Torrellas, Josep
PY - 2012
Y1 - 2012
N2 - Power dissipation and energy consumption are becoming increasingly important architectural design constraints in different types of computers, from embedded systems to large-scale supercomputers. To continue the scaling of performance, it is essential that we build parallel processor chips that make the best use of exponentially increasing numbers of transistors within the power and energy budgets. Intel SCC is an appealing option for future many-core architectures. In this paper, we use various scalable applications to quantitatively compare and analyze the performance, power consumption and energy efficiency of different cutting-edge platforms that differ in architectural build. These platforms include the Intel Single-Chip Cloud Computer (SCC) many-core, the Intel Core i7 general-purpose multi-core, the Intel Atom low-power processor, and the Nvidia ION2 GPGPU. Our results show that the GPGPU has outstanding results in performance, power consumption and energy efficiency for many applications, but it requires significant programming effort and is not general enough to show the same level of efficiency for all the applications. The light-weight many-core presents an opportunity for better performance per watt over the heavy-weight multi-core, although the multi-core is still very effective for some sophisticated applications. In addition, the low-power processor is not necessarily energy-efficient, since the runtime delay effect can be greater than the power savings.
AB - Power dissipation and energy consumption are becoming increasingly important architectural design constraints in different types of computers, from embedded systems to large-scale supercomputers. To continue the scaling of performance, it is essential that we build parallel processor chips that make the best use of exponentially increasing numbers of transistors within the power and energy budgets. Intel SCC is an appealing option for future many-core architectures. In this paper, we use various scalable applications to quantitatively compare and analyze the performance, power consumption and energy efficiency of different cutting-edge platforms that differ in architectural build. These platforms include the Intel Single-Chip Cloud Computer (SCC) many-core, the Intel Core i7 general-purpose multi-core, the Intel Atom low-power processor, and the Nvidia ION2 GPGPU. Our results show that the GPGPU has outstanding results in performance, power consumption and energy efficiency for many applications, but it requires significant programming effort and is not general enough to show the same level of efficiency for all the applications. The light-weight many-core presents an opportunity for better performance per watt over the heavy-weight multi-core, although the multi-core is still very effective for some sophisticated applications. In addition, the low-power processor is not necessarily energy-efficient, since the runtime delay effect can be greater than the power savings.
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U2 - 10.1109/ISPASS.2012.6189208
DO - 10.1109/ISPASS.2012.6189208
M3 - Conference contribution
AN - SCOPUS:84862076438
SN - 9781467311441
T3 - ISPASS 2012 - IEEE International Symposium on Performance Analysis of Systems and Software
SP - 78
EP - 87
BT - ISPASS 2012 - IEEE International Symposium on Performance Analysis of Systems and Software
T2 - 2012 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2012
Y2 - 1 April 2012 through 3 April 2012
ER -