Zobrazeno 1 - 10
of 39
pro vyhledávání: '"RESCH, SALONIK"'
Autor:
Lv, Yang, Zink, Brandon R., Bloom, Robert P., Cılasun, Hüsrev, Khanal, Pravin, Resch, Salonik, Chowdhury, Zamshed, Habiboglu, Ali, Wang, Weigang, Sapatnekar, Sachin S., Karpuzcu, Ulya, Wang, Jian-Ping
Conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence, because much of the power and energy is consumed by constant data transfers between logic and memo
Externí odkaz:
http://arxiv.org/abs/2312.14264
In the noisy intermediate-scale quantum (NISQ) era, quantum error mitigation will be a necessary tool to extract useful performance out of quantum devices. However, there is a big gap between the noise models often assumed by error mitigation techniq
Externí odkaz:
http://arxiv.org/abs/2301.02690
Autor:
Cılasun, Hüsrev, Resch, Salonik, Chowdhury, Zamshed I., Zabihi, Masoud, Lv, Yang, Zink, Brandon, Wang, Jian-Ping, Sapatnekar, Sachin S., Karpuzcu, Ulya R.
Publikováno v:
2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)
Processing in memory (PiM) represents a promising computing paradigm to enhance performance of numerous data-intensive applications. Variants performing computing directly in emerging nonvolatile memories can deliver very high energy efficiency. PiM
Externí odkaz:
http://arxiv.org/abs/2207.13261
Autor:
Resch, Salonik, Karpuzcu, Ulya R.
Quantum error correction is capable of digitizing quantum noise and increasing the robustness of qubits. Typically, error correction is designed with the target of eliminating all errors - making an error so unlikely it can be assumed that none occur
Externí odkaz:
http://arxiv.org/abs/2112.10044
Autor:
Resch, Salonik, Chowdhury, Zamshed I., Cilasun, Husrev, Zabihi, Masoud, Zhao, Zhengyang, Wang, Jian-Ping, Sapatnekar, Sachin, Karpuzcu, Ulya R.
Beyond edge devices can function off the power grid and without batteries, enabling them to operate in difficult to access regions. However, energy costly long-distance communication required for reporting results or offloading computation becomes a
Externí odkaz:
http://arxiv.org/abs/2112.08943
Autor:
Resch, Salonik, Gutierrez, Anthony, Huh, Joon Suk, Bharadwaj, Srikant, Eckert, Yasuko, Loh, Gabriel, Oskin, Mark, Tannu, Swamit
Variational quantum algorithms (VQAs) provide a promising approach to achieve quantum advantage in the noisy intermediate-scale quantum era. In this era, quantum computers experience high error rates and quantum error detection and correction is not
Externí odkaz:
http://arxiv.org/abs/2109.01714
Autor:
Zabihi, Masoud, Resch, Salonik, Cılasun, Husrev, Chowdhury, Zamshed I., Zhao, Zhengyang, Karpuzcu, Ulya R., Wang, Jian-Ping, Sapatnekar, Sachin S.
This paper describes how 3D XPoint memory arrays can be used as in-memory computing accelerators. We first show that thresholded matrix-vector multiplication (TMVM), the fundamental computational kernel in many applications including machine learning
Externí odkaz:
http://arxiv.org/abs/2106.08402
Autor:
Resch, Salonik
This short tutorial provides an introduction to the Quantum Approximation Optimization Algorithm (QAOA). Specifically, how to use QAOA with the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm to solve the Max-Cut problem. All step
Externí odkaz:
http://arxiv.org/abs/2106.01578
Autor:
Cılasun, Hüsrev, Resch, Salonik, Chowdhury, Zamshed I., Olson, Erin, Zabihi, Masoud, Zhao, Zhengyang, Peterson, Thomas, Parhi, Keshab, Wang, Jian-Ping, Sapatnekar, Sachin S., Karpuzcu, Ulya
Publikováno v:
ACM Transactions on Architecture and Code Optimization Volume 18 Issue 4 December 2021 Article No.: 59
Spiking Neural Networks (SNN) represent a biologically inspired computation model capable of emulating neural computation in human brain and brain-like structures. The main promise is very low energy consumption. Unfortunately, classic Von Neumann ar
Externí odkaz:
http://arxiv.org/abs/2006.03007
Autor:
Resch, Salonik, Karpuzcu, Ulya R.
Benchmarking is how the performance of a computing system is determined. Surprisingly, even for classical computers this is not a straightforward process. One must choose the appropriate benchmark and metrics to extract meaningful results. Different
Externí odkaz:
http://arxiv.org/abs/1912.00546