Enabling resource-efficient aiot system with cross-level optimization: A survey
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …
widespread use of intelligent infrastructures and the impressive success of deep learning …
Hardware-accelerated platforms and infrastructures for network functions: A survey of enabling technologies and research studies
In order to facilitate flexible network service virtualization and migration, network functions
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …
A scalable processing-in-memory accelerator for parallel graph processing
The explosion of digital data and the ever-growing need for fast data analysis have made in-
memory big-data processing in computer systems increasingly important. In particular, large …
memory big-data processing in computer systems increasingly important. In particular, large …
PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture
Processing-in-memory (PIM) is rapidly rising as a viable solution for the memory wall crisis,
rebounding from its unsuccessful attempts in 1990s due to practicality concerns, which are …
rebounding from its unsuccessful attempts in 1990s due to practicality concerns, which are …
DAMOV: A new methodology and benchmark suite for evaluating data movement bottlenecks
Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
A 28 nm configurable memory (TCAM/BCAM/SRAM) using push-rule 6T bit cell enabling logic-in-memory
S Jeloka, NB Akesh, D Sylvester… - IEEE Journal of Solid …, 2016 - ieeexplore.ieee.org
Conventional content addressable memory (BCAM and TCAM) uses specialized 10T/16T bit
cells that are significantly larger than 6T SRAM cells. A new BCAM/TCAM is proposed that …
cells that are significantly larger than 6T SRAM cells. A new BCAM/TCAM is proposed that …
NDA: Near-DRAM acceleration architecture leveraging commodity DRAM devices and standard memory modules
A Farmahini-Farahani, JH Ahn… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
Energy consumed for transferring data across the processor memory hierarchy constitutes a
large fraction of total system energy consumption, and this fraction has steadily increased …
large fraction of total system energy consumption, and this fraction has steadily increased …
Aladdin: A pre-rtl, power-performance accelerator simulator enabling large design space exploration of customized architectures
Hardware specialization, in the form of accelerators that provide custom datapath and
control for specific algorithms and applications, promises impressive performance and …
control for specific algorithms and applications, promises impressive performance and …
HRL: Efficient and flexible reconfigurable logic for near-data processing
M Gao, C Kozyrakis - 2016 IEEE International Symposium on …, 2016 - ieeexplore.ieee.org
The energy constraints due to the end of Dennard scaling, the popularity of in-memory
analytics, and the advances in 3D integration technology have led to renewed interest in …
analytics, and the advances in 3D integration technology have led to renewed interest in …
GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies
Background Seed location filtering is critical in DNA read mapping, a process where billions
of DNA fragments (reads) sampled from a donor are mapped onto a reference genome to …
of DNA fragments (reads) sampled from a donor are mapped onto a reference genome to …