Zobrazeno 1 - 10
of 101
pro vyhledávání: '"AUSAVARUNGNIRUN, RACHATA"'
Autor:
Kanellopoulos, Konstantinos, Bera, Rahul, Stojiljkovic, Kosta, Bostanci, Nisa, Firtina, Can, Ausavarungnirun, Rachata, Kumar, Rakesh, Hajinazar, Nastaran, Sadrosadati, Mohammad, Vijaykumar, Nandita, Mutlu, Onur
Conventional virtual memory (VM) frameworks enable a virtual address to flexibly map to any physical address. This flexibility necessitates large data structures to store virtual-to-physical mappings, which leads to high address translation latency a
Externí odkaz:
http://arxiv.org/abs/2211.12205
Autor:
Ghiasi, Nika Mansouri, Sadrosadati, Mohammad, Oliveira, Geraldo F., Kanellopoulos, Konstantinos, Ausavarungnirun, Rachata, Luna, Juan Gómez, Manglik, Aditya, Ferreira, João, Kim, Jeremie S., Giannoula, Christina, Vijaykumar, Nandita, Park, Jisung, Mutlu, Onur
Recent nano-technological advances enable the Monolithic 3D (M3D) integration of multiple memory and logic layers in a single chip with fine-grained connections. M3D technology leads to significantly higher main memory bandwidth and shorter latency t
Externí odkaz:
http://arxiv.org/abs/2210.08508
Autor:
Ghiasi, Nika Mansouri, Park, Jisung, Mustafa, Harun, Kim, Jeremie, Olgun, Ataberk, Gollwitzer, Arvid, Cali, Damla Senol, Firtina, Can, Mao, Haiyu, Alserr, Nour Almadhoun, Ausavarungnirun, Rachata, Vijaykumar, Nandita, Alser, Mohammed, Mutlu, Onur
Read mapping is a fundamental, yet computationally-expensive step in many genomics applications. It is used to identify potential matches and differences between fragments (called reads) of a sequenced genome and an already known genome (called a ref
Externí odkaz:
http://arxiv.org/abs/2202.10400
Autor:
Ausavarungnirun, Rachata, Mutlu, Onur
As the number of cores scales to tens and hundreds, the energy consumption of routers across various types of on-chip networks in chip muiltiprocessors (CMPs) increases significantly. A major source of this energy consumption comes from the input buf
Externí odkaz:
http://arxiv.org/abs/2112.02516
Autor:
Besta, Maciej, Kanakagiri, Raghavendra, Kwasniewski, Grzegorz, Ausavarungnirun, Rachata, Beránek, Jakub, Kanellopoulos, Konstantinos, Janda, Kacper, Vonarburg-Shmaria, Zur, Gianinazzi, Lukas, Stefan, Ioana, Luna, Juan Gómez, Copik, Marcin, Kapp-Schwoerer, Lukas, Di Girolamo, Salvatore, Konieczny, Marek, Blach, Nils, Mutlu, Onur, Hoefler, Torsten
Simple graph algorithms such as PageRank have been the target of numerous hardware accelerators. Yet, there also exist much more complex graph mining algorithms for problems such as clustering or maximal clique listing. These algorithms are memory-bo
Externí odkaz:
http://arxiv.org/abs/2104.07582
Modern computing systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in computing that cause performance, scalability and energy bottlenecks: (1) data access is a key bot
Externí odkaz:
http://arxiv.org/abs/2012.03112
Autor:
Besta, Maciej, Hassan, Syed Minhaj, Yalamanchili, Sudhakar, Ausavarungnirun, Rachata, Mutlu, Onur, Hoefler, Torsten
Publikováno v:
Proceedings of the 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'18), 2018
Emerging chips with hundreds and thousands of cores require networks with unprecedented energy/area efficiency and scalability. To address this, we propose Slim NoC (SN): a new on-chip network design that delivers significant improvements in efficien
Externí odkaz:
http://arxiv.org/abs/2010.10683
Autor:
Sadrosadati, Mohammad, Mirhosseini, Amirhossein, Hajiabadi, Ali, Ehsani, Seyed Borna, Falahati, Hajar, Sarbazi-Azad, Hamid, Drumond, Mario, Falsafi, Babak, Ausavarungnirun, Rachata, Mutlu, Onur
Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high power consump
Externí odkaz:
http://arxiv.org/abs/2010.09330
Autor:
Cali, Damla Senol, Kalsi, Gurpreet S., Bingöl, Zülal, Firtina, Can, Subramanian, Lavanya, Kim, Jeremie S., Ausavarungnirun, Rachata, Alser, Mohammed, Gomez-Luna, Juan, Boroumand, Amirali, Nori, Anant, Scibisz, Allison, Subramoney, Sreenivas, Alkan, Can, Ghose, Saugata, Mutlu, Onur
Genome sequence analysis has enabled significant advancements in medical and scientific areas such as personalized medicine, outbreak tracing, and the understanding of evolution. Unfortunately, it is currently bottlenecked by the computational power
Externí odkaz:
http://arxiv.org/abs/2009.07692
Autor:
Hajinazar, Nastaran, Patel, Pratyush, Patel, Minesh, Kanellopoulos, Konstantinos, Ghose, Saugata, Ausavarungnirun, Rachata, Oliveira Jr., Geraldo Francisco de, Appavoo, Jonathan, Seshadri, Vivek, Mutlu, Onur
Computers continue to diversify with respect to system designs, emerging memory technologies, and application memory demands. Unfortunately, continually adapting the conventional virtual memory framework to each possible system configuration is chall
Externí odkaz:
http://arxiv.org/abs/2005.09748