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DTSTART:20380119T111407
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DTSTAMP:20240104T062208Z
UID:1B672286-CD38-4AD3-B91D-311F3636C123
DTSTART;TZID=Asia/Kuala_Lumpur:20230722T180000
DTEND;TZID=Asia/Kuala_Lumpur:20230722T210000
DESCRIPTION:In July of 2023\, University of Nottingham Malaysia (UNM) stude
 nt Chia Yu Hang from the department of Electrical and Electronic Engineeri
 ng (EEE) won the IEEE Electronic Packaging Society’s (EPS) Best Engineer
 ing Student Award (BESA) for his Final Year Project (FYP) entitled “SRAM
 -based In-Memory Computing”\, under the supervision of Prof T. Nandha. T
 he award was presented to him by Dr Eu Poh Leng from the IEEE EPS society 
 at the annual Faculty of Science and Engineering (FOSE) Awards Ceremony he
 ld at the Bangi Convention Center\, July 22nd\, 2023.\n\nYu Hang’s FYP t
 ackles the problem of limited computer data throughput caused by the physi
 cal separation of the computing elements (the CPU) and the memory elements
  (the RAM) necessitating information exchange between them on a shared-bus
 . This is traditionally known as the Von Neumann architecture and the resu
 lting limited throughput over the shared bus is called the Von Neumann bot
 tleneck. In 1945\, a Hungarian-American computer scientist\, John Von Neum
 ann proposed the computer architectural model that currently bears his nam
 e and is still the main architecture used on computing systems in producti
 on today. Due to the Von Neumann bottleneck\, the maximum throughput at wh
 ich computers can process data is currently limited by the rate of the seq
 uential data exchange on the bus.\n\nIn-memory computing (IMC) also known 
 as Processing in Memory (PIM) is an alternative computer architecture para
 digm in which the computing elements and the memory elements are combined 
 together in a single chip rather than having them separated and communicat
 ing across the system bus. In his FYP\, Yu Hang explored the use of SRAM i
 n the application of an IMC application\, in particular his project object
 ives included designing and evaluating an SRAM cell at the circuit level\,
  designing an IMC architecture using the SRAM cross-bar design\, designing
  a multiplier using the newly proposed IMC architecture and comparing his 
 design with the pre-existing designs.\n\nIn his project Yu Hang compared h
 is designs to a 10-transistor SRAM design from the literature and subseque
 ntly was able to improve the design to an 8-transistor SRAM resulting in a
  20% improvement over the state-of-the art.\n\nBangi\, Selangor\, Malaysia
LOCATION:Bangi\, Selangor\, Malaysia
ORGANIZER:splim@indium.com
SEQUENCE:20
SUMMARY:Besa Award for Nottingham University
URL;VALUE=URI:https://events.vtools.ieee.org/m/398923
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In July of 2023\, University of Nottingham
  Malaysia (UNM) student Chia Yu Hang from the department of Electrical and
  Electronic Engineering (EEE) won the IEEE Electronic Packaging Society&amp;rs
 quo\;s (EPS) Best Engineering Student Award (BESA) for his Final Year Proj
 ect (FYP) entitled &amp;ldquo\;SRAM-based In-Memory Computing&amp;rdquo\;\, under 
 the supervision of Prof T. Nandha. The award was presented to him by Dr Eu
  Poh Leng from the IEEE EPS society at the annual Faculty of Science and E
 ngineering (FOSE) Awards Ceremony held at the Bangi Convention Center\, Ju
 ly 22nd\, 2023.&lt;/p&gt;\n&lt;p&gt;Yu Hang&amp;rsquo\;s FYP tackles the problem of limite
 d computer data throughput caused by the physical separation of the comput
 ing elements (the CPU) and the memory elements (the RAM) necessitating inf
 ormation exchange between them on a shared-bus. This is traditionally know
 n as the Von Neumann architecture and the resulting limited throughput ove
 r the shared bus is called the Von Neumann bottleneck. In 1945\, a Hungari
 an-American computer scientist\, John Von Neumann proposed the computer ar
 chitectural model that currently bears his name and is still the main arch
 itecture used on computing systems in production today. Due to the Von Neu
 mann bottleneck\, the maximum throughput at which computers can process da
 ta is currently limited by the rate of the sequential data exchange on the
  bus.&lt;/p&gt;\n&lt;p&gt;In-memory computing (IMC) also known as Processing in Memory
  (PIM) is an alternative computer architecture paradigm in which the compu
 ting elements and the memory elements are combined together in a single ch
 ip rather than having them separated and communicating across the system b
 us. In his FYP\, Yu Hang explored the use of SRAM in the application of an
  IMC application\, in particular his project objectives included designing
  and evaluating an SRAM cell at the circuit level\, designing an IMC archi
 tecture using the SRAM cross-bar design\, designing a multiplier using the
  newly proposed IMC architecture and comparing his design with the pre-exi
 sting designs.&lt;/p&gt;\n&lt;p&gt;In his project Yu Hang compared his designs to a 10
 -transistor SRAM design from the literature and subsequently was able to i
 mprove the design to an 8-transistor SRAM resulting in a 20% improvement o
 ver the state-of-the art.&lt;/p&gt;
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